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Profile Evaluation and Uni Consideration- Indian Male | IIT
[#permalink]
01 May 2024, 06:19
=12ptHi all,
I wanted a profile evaluation for my M7 MBA application for 2026 intake.
A bit about my background-
Age - 25, Male
Undergrad - B. Tech. Electrical engineering IIT Madras, CGPA 7.9 (it’s a bit low, as our department grades harshly)( JEE Main AIR- 9)
I’m currently working on GMAT prep, giving it in Nov this year, targeting 760+ (will not apply before that)
=12ptProfessional experience –
=12ptSenior Data Scientist, Mastercard AI Garage
=12pt
I have been working since Aug 2020, Got 2 promotions, Associate Specialist- Data Scientist II- Senior Data Scientist
=12ptI am currently involved in developing various AI Models as a part of real-time Acquirer Risk Management Solution, estimated to generate an annual revenue of ~120 million. I am also involved in ideating new products, from ideation to development to final production(in the pipeline, due to reorgs).
=12ptI have also developed end to end generative AI based( back in GPT 2 days xD) solutions which saved 100+hours for business analysts. Also, worked in developing two fraud based products for major financial institutions.
=12ptI have won AI Excellence award in the company for Q1 2023 and also secured 3rd in our internal hackathon.
=12ptI also have 3 patents filed currently in my name(in the process of filing more) and have actively worked on research projects and published 3 papers in top conferences( aiming for more this year, with one being in an AI in Finance domain).I also am involved in Research collaborations with top institutes like MIT and IITD
=12ptI have also cleared CFA L3(L1 and L2 above 90percentile) as I have always been interested in Finance( Main reason for choosing Mastercard too as I have always been interested in the FinTech space)
=12ptI have also delivered many talks on AI, in Kaggle Days meetup,Analytics Vidhya Data Hour and Mastercard podcast. Also, got the wonderful opportunity to deliver a guest lecture on AI in AML in Said Business School, Oxford
=12ptCurrently writing a book chapter on AI in counter terrorism for an ethics in AI to be published in Dec 2024( tentative)
=12ptI also interned at Fidelity Investments, which sparked my interest in the intersection between finance and data science ( and hence the CFA and Mastercard, and I know MC isn’t exactly fin fin, but I wanted to get a flavour of the fintech ecosystem)
=12ptI have also interned in IIMA, where I was working on optimizing and developing new algorithms for Mobile P2P communication. Also, interned in an edtech startup Bitwise, in my second year, where I primarily worked on adaptive learning algorithms to teach children better.
=12ptExtra Curriculars
=12ptCurrently, just started working on a community library project, which is a community library with a heavy emphasis on equality and inclusion( Reading has always been my hobby)
I lead the off the cubicles team, which is involved in organizing various activities like sports week etc to encourage bonding between the team.
=12ptAlso a part of the Design, Branding and communications team where we work on various initiatives showcasing AIG like women in Data science conferences, podcast and career sessions Linkedin posts, website, in office branding,
=12ptI was a part of the main organizing committee for the professional shows in Shaastra, the tech Fest in IITM
=12ptAlso, was a part of music club team in IITM where we organized various music events in our cultural fest Saarang.
=12ptLed an NSS project, where I organized a team of 10, for mentoring underprivileged children and also Volunteered at Suyam project, which is an NGO for underprivileged girls working on JEE and 12th std prep.
In School, I always used to actively participate in quizzing, and won a National quiz hosted by times of India, which gave me the opportunity to visit NASA centre. Always have secured podium positions in multiple quizzes on various topics like Math, Mythology and General(I know its weird xD)
My specific questions are -
I know my GPA is low (relative grading pains:- never was a fan of electrical engineering until last year, where I had the freedom to choose more math and AI courses)
=12ptI think i can make up for it with my GMAT score( Always been good at test taking)
=12pt1.I know I have the typical Indian IT male profile,I am not sure how much the research and CFA will help me stand out
2. How critical is this low GPA? will it be a dealbreaker for some schools even with a higher GMAT score?
=12pt3. I feel like my extracurriculars are a bit weak, thinking of working on more initiatives
=12pt4. Wharton has always been my dream school, and I have never been more sure especially after coming to know they offer a finance+Analytics( ML is literally analytics on steroids so), I feel like it would be a good fit for my future goals. Is this realistic considering how selective Wharton is?
4. If yes, which out of the M7s(Columbia, Booth, MIT) are definitely in reach?
=12ptHi all,
I wanted a profile evaluation for my M7 MBA application for 2026 intake.
A bit about my background-
Age - 25, Male
Undergrad - B. Tech. Electrical engineering IIT Madras, CGPA 7.9 (it’s a bit low, as our department grades harshly)( JEE Main AIR- 9)
I’m currently working on GMAT prep, giving it in Nov this year, targeting 760+ (will not apply before that)
=12ptProfessional experience –
=12ptSenior Data Scientist, Mastercard AI Garage
=12pt
I have been working since Aug 2020, Got 2 promotions, Associate Specialist- Data Scientist II- Senior Data Scientist
=12ptI am currently involved in developing various AI Models ,as a part of our flagship estimated to generate an annual revenue of ~120 million. I am also involved in ideating new products, from ideation to development to final production(in the pipeline, due to reorgs). =12ptI have also developed end to end generative AI based( back in GPT 2 days xD) solutions which saved 100+hours for business analysts. Also, worked on developing two fraud based products for major financial institutions.
=12ptI have won AI Excellence award in the company for Q1 2023 and also secured 3rd in our internal hackathon.
=12ptI also have 3 patents filed currently in my name(in the process of filing more) and have actively worked on research projects and published 3 papers in top conferences( aiming for more this year, with one being in an AI in Finance domain).I also am involved in Research collaborations with top institutes like MIT and IITD
=12ptI have also cleared CFA L3(L1 and L2 above 90percentile) as I have always been interested in Finance( Main reason for choosing Mastercard too as I have always been interested in the FinTech space)
=12ptI have also delivered many talks on AI, in Kaggle Days meetup,Analytics Vidhya Data Hour and Mastercard podcast. Also, got the wonderful opportunity to deliver a guest lecture on AI in AML in Said Business School, Oxford
=12ptCurrently writing a book chapter on AI in counter terrorism for an ethics in AI to be published in Dec 2024( tentative)
=12ptI also interned at Fidelity Investments, which sparked my interest in the intersection between finance and data science ( and hence the CFA and Mastercard, and I know MC isn’t exactly fin fin, but I wanted to get a flavour of the fintech ecosystem)
=12ptI have also interned in IIMA, where I was working on optimizing and developing new algorithms for Mobile P2P communication. Also, interned in an edtech startup Bitwise, in my second year, where I primarily worked on adaptive learning algorithms to teach children better.
=12ptExtra Curriculars
=12ptCurrently, just started working on a community library project, which is a community library with a heavy emphasis on equality and inclusion( Reading has always been my hobby)
I lead the off the cubicles team, which is involved in organizing various activities like sports week etc to encourage bonding between the team.
=12ptAlso a part of the Design, Branding and communications team where we work on various initiatives showcasing AIG like women in Data science conferences, podcast and career sessions Linkedin posts, website, in office branding,
=12ptI was a part of the main organizing committee for the professional shows in Shaastra, the tech Fest in IITM
=12ptAlso, was a part of music club team in IITM where we organized various music events in our cultural fest Saarang.
=12ptLed an NSS project, where I organized a team of 10, for mentoring underprivileged children and also Volunteered at Suyam project, which is an NGO for underprivileged girls working on JEE and 12th std prep.
In School, I always used to actively participate in quizzing, and won a National quiz hosted by times of India, which gave me the opportunity to visit NASA centre. Always have secured podium positions in multiple quizzes on various topics like Math, Mythology and General(I know its weird xD)
My specific questions are -
I know my GPA is low (relative grading pains:- never was a fan of electrical engineering until last year, where I had the freedom to choose more math and AI courses)
=12ptI think i can make up for it with my GMAT score( Always been good at test taking)
=12pt1.I know I have the typical Indian IT male profile,I am not sure how much the research and CFA will help me stand out
2. How critical is this low GPA? will it be a dealbreaker for some schools even with a higher GMAT score?
=12pt3. I feel like my extracurriculars are a bit weak, thinking of working on more initiatives
=12pt4. Wharton has always been my dream school, and I have never been more sure especially after coming to know they offer a finance+Analytics( ML is literally analytics on steroids so), I feel like it would be a good fit for my future goals. Is this realistic considering how selective Wharton is?
4. If yes, which out of the M7s(Columbia, Booth, MIT) are definitely in reach?
I wanted a profile evaluation for my M7 MBA application for 2026 intake.
A bit about my background-
Age - 25, Male
Undergrad - B. Tech. Electrical engineering IIT Madras, CGPA 7.9 (it’s a bit low, as our department grades harshly)( JEE Main AIR- 9)
I’m currently working on GMAT prep, giving it in Nov this year, targeting 760+ (will not apply before that)
=12ptProfessional experience –
=12ptSenior Data Scientist, Mastercard AI Garage
=12pt
I have been working since Aug 2020, Got 2 promotions, Associate Specialist- Data Scientist II- Senior Data Scientist
=12ptI am currently involved in developing various AI Models as a part of real-time Acquirer Risk Management Solution, estimated to generate an annual revenue of ~120 million. I am also involved in ideating new products, from ideation to development to final production(in the pipeline, due to reorgs).
=12ptI have also developed end to end generative AI based( back in GPT 2 days xD) solutions which saved 100+hours for business analysts. Also, worked in developing two fraud based products for major financial institutions.
=12ptI have won AI Excellence award in the company for Q1 2023 and also secured 3rd in our internal hackathon.
=12ptI also have 3 patents filed currently in my name(in the process of filing more) and have actively worked on research projects and published 3 papers in top conferences( aiming for more this year, with one being in an AI in Finance domain).I also am involved in Research collaborations with top institutes like MIT and IITD
=12ptI have also cleared CFA L3(L1 and L2 above 90percentile) as I have always been interested in Finance( Main reason for choosing Mastercard too as I have always been interested in the FinTech space)
=12ptI have also delivered many talks on AI, in Kaggle Days meetup,Analytics Vidhya Data Hour and Mastercard podcast. Also, got the wonderful opportunity to deliver a guest lecture on AI in AML in Said Business School, Oxford
=12ptCurrently writing a book chapter on AI in counter terrorism for an ethics in AI to be published in Dec 2024( tentative)
=12ptI also interned at Fidelity Investments, which sparked my interest in the intersection between finance and data science ( and hence the CFA and Mastercard, and I know MC isn’t exactly fin fin, but I wanted to get a flavour of the fintech ecosystem)
=12ptI have also interned in IIMA, where I was working on optimizing and developing new algorithms for Mobile P2P communication. Also, interned in an edtech startup Bitwise, in my second year, where I primarily worked on adaptive learning algorithms to teach children better.
=12ptExtra Curriculars
=12ptCurrently, just started working on a community library project, which is a community library with a heavy emphasis on equality and inclusion( Reading has always been my hobby)
I lead the off the cubicles team, which is involved in organizing various activities like sports week etc to encourage bonding between the team.
=12ptAlso a part of the Design, Branding and communications team where we work on various initiatives showcasing AIG like women in Data science conferences, podcast and career sessions Linkedin posts, website, in office branding,
=12ptI was a part of the main organizing committee for the professional shows in Shaastra, the tech Fest in IITM
=12ptAlso, was a part of music club team in IITM where we organized various music events in our cultural fest Saarang.
=12ptLed an NSS project, where I organized a team of 10, for mentoring underprivileged children and also Volunteered at Suyam project, which is an NGO for underprivileged girls working on JEE and 12th std prep.
In School, I always used to actively participate in quizzing, and won a National quiz hosted by times of India, which gave me the opportunity to visit NASA centre. Always have secured podium positions in multiple quizzes on various topics like Math, Mythology and General(I know its weird xD)
My specific questions are -
I know my GPA is low (relative grading pains:- never was a fan of electrical engineering until last year, where I had the freedom to choose more math and AI courses)
=12ptI think i can make up for it with my GMAT score( Always been good at test taking)
=12pt1.I know I have the typical Indian IT male profile,I am not sure how much the research and CFA will help me stand out
2. How critical is this low GPA? will it be a dealbreaker for some schools even with a higher GMAT score?
=12pt3. I feel like my extracurriculars are a bit weak, thinking of working on more initiatives
=12pt4. Wharton has always been my dream school, and I have never been more sure especially after coming to know they offer a finance+Analytics( ML is literally analytics on steroids so), I feel like it would be a good fit for my future goals. Is this realistic considering how selective Wharton is?
4. If yes, which out of the M7s(Columbia, Booth, MIT) are definitely in reach?
=12ptHi all,
I wanted a profile evaluation for my M7 MBA application for 2026 intake.
A bit about my background-
Age - 25, Male
Undergrad - B. Tech. Electrical engineering IIT Madras, CGPA 7.9 (it’s a bit low, as our department grades harshly)( JEE Main AIR- 9)
I’m currently working on GMAT prep, giving it in Nov this year, targeting 760+ (will not apply before that)
=12ptProfessional experience –
=12ptSenior Data Scientist, Mastercard AI Garage
=12pt
I have been working since Aug 2020, Got 2 promotions, Associate Specialist- Data Scientist II- Senior Data Scientist
=12ptI am currently involved in developing various AI Models ,as a part of our flagship estimated to generate an annual revenue of ~120 million. I am also involved in ideating new products, from ideation to development to final production(in the pipeline, due to reorgs). =12ptI have also developed end to end generative AI based( back in GPT 2 days xD) solutions which saved 100+hours for business analysts. Also, worked on developing two fraud based products for major financial institutions.
=12ptI have won AI Excellence award in the company for Q1 2023 and also secured 3rd in our internal hackathon.
=12ptI also have 3 patents filed currently in my name(in the process of filing more) and have actively worked on research projects and published 3 papers in top conferences( aiming for more this year, with one being in an AI in Finance domain).I also am involved in Research collaborations with top institutes like MIT and IITD
=12ptI have also cleared CFA L3(L1 and L2 above 90percentile) as I have always been interested in Finance( Main reason for choosing Mastercard too as I have always been interested in the FinTech space)
=12ptI have also delivered many talks on AI, in Kaggle Days meetup,Analytics Vidhya Data Hour and Mastercard podcast. Also, got the wonderful opportunity to deliver a guest lecture on AI in AML in Said Business School, Oxford
=12ptCurrently writing a book chapter on AI in counter terrorism for an ethics in AI to be published in Dec 2024( tentative)
=12ptI also interned at Fidelity Investments, which sparked my interest in the intersection between finance and data science ( and hence the CFA and Mastercard, and I know MC isn’t exactly fin fin, but I wanted to get a flavour of the fintech ecosystem)
=12ptI have also interned in IIMA, where I was working on optimizing and developing new algorithms for Mobile P2P communication. Also, interned in an edtech startup Bitwise, in my second year, where I primarily worked on adaptive learning algorithms to teach children better.
=12ptExtra Curriculars
=12ptCurrently, just started working on a community library project, which is a community library with a heavy emphasis on equality and inclusion( Reading has always been my hobby)
I lead the off the cubicles team, which is involved in organizing various activities like sports week etc to encourage bonding between the team.
=12ptAlso a part of the Design, Branding and communications team where we work on various initiatives showcasing AIG like women in Data science conferences, podcast and career sessions Linkedin posts, website, in office branding,
=12ptI was a part of the main organizing committee for the professional shows in Shaastra, the tech Fest in IITM
=12ptAlso, was a part of music club team in IITM where we organized various music events in our cultural fest Saarang.
=12ptLed an NSS project, where I organized a team of 10, for mentoring underprivileged children and also Volunteered at Suyam project, which is an NGO for underprivileged girls working on JEE and 12th std prep.
In School, I always used to actively participate in quizzing, and won a National quiz hosted by times of India, which gave me the opportunity to visit NASA centre. Always have secured podium positions in multiple quizzes on various topics like Math, Mythology and General(I know its weird xD)
My specific questions are -
I know my GPA is low (relative grading pains:- never was a fan of electrical engineering until last year, where I had the freedom to choose more math and AI courses)
=12ptI think i can make up for it with my GMAT score( Always been good at test taking)
=12pt1.I know I have the typical Indian IT male profile,I am not sure how much the research and CFA will help me stand out
2. How critical is this low GPA? will it be a dealbreaker for some schools even with a higher GMAT score?
=12pt3. I feel like my extracurriculars are a bit weak, thinking of working on more initiatives
=12pt4. Wharton has always been my dream school, and I have never been more sure especially after coming to know they offer a finance+Analytics( ML is literally analytics on steroids so), I feel like it would be a good fit for my future goals. Is this realistic considering how selective Wharton is?
4. If yes, which out of the M7s(Columbia, Booth, MIT) are definitely in reach?
MBA and Beyond Consulting
Joined: 13 Jul 2020
Status:MBA Admissions Consulting from INSEAD, Wharton and Columbia graduates
Affiliations: INSEAD and Harvard
Posts: 2653
Given Kudos: 22
Location: Singapore
Re: Profile Evaluation and Uni Consideration- Indian Male | IIT
[#permalink]
01 May 2024, 07:17
1
Kudos
Expert Reply
Hey there raysabre18
I hope you are doing well. Your profile looks good on the surface. Your background is impressive, from the prestigious IIT Madras (with that stellar JEE Main rank) to your current role as a Senior Data Scientist at Mastercard AI Garage. The promotions, revenue-generating projects, and product development experience scream leadership and impact.
Three patents, publications, research collaborations, and an AI Excellence award showcase your intellectual horsepower and research chops. Clearing CFA L3 with high percentiles further demonstrates your commitment to finance, a perfect complement to your data science expertise. The public speaking, guest lecturing, and community involvement highlight well-rounded communication and leadership skills.
Now, let's address your concerns:
Indian IT Male Profile: Research and the CFA absolutely set you apart! M7 programs seek diverse experiences, and your unique blend of data science, finance, and research will make you stand out.
Low GPA: A 7.9 GPA isn't ideal, but a killer GMAT score (760+ is ambitious but achievable) can significantly help. Highlight your upward academic trend and strong work performance in your essays.
Extracurriculars: They're solid, but consider focusing on the community library project for demonstrable social impact. Maybe leverage your interests by speaking at a data science conference on AI ethics?
Wharton Dream: With your profile, it's possible. Focus on showcasing your unique data science-finance-AI intersection in your essays and recommendations. Network with Wharton alumni if you can.
Beyond Wharton, consider other M7 programs that align with your goals:
Columbia: Their Data Science specialization is a great fit.
Booth: Strong finance program with an innovation focus, perfect for your fintech aspirations.
MIT Sloan: Pioneering data science program, ideal for your tech background.
Overall, you have a strong profile with a compelling narrative. Focus on a high GMAT score, highlight your unique research and finance blend, and showcase your leadership and impact. With strategic application and a compelling story, you have a shot at your dream schools, including Wharton.
We offer free 1:1 profile evaluation calls, during which we can provide a more detailed analysis and discuss strategies to boost your chances at your target schools.
CLICK HERE TO SCHEDULE YOUR 1:1 FREE PROFILE EVALUATION CALL
I hope you are doing well. Your profile looks good on the surface. Your background is impressive, from the prestigious IIT Madras (with that stellar JEE Main rank) to your current role as a Senior Data Scientist at Mastercard AI Garage. The promotions, revenue-generating projects, and product development experience scream leadership and impact.
Three patents, publications, research collaborations, and an AI Excellence award showcase your intellectual horsepower and research chops. Clearing CFA L3 with high percentiles further demonstrates your commitment to finance, a perfect complement to your data science expertise. The public speaking, guest lecturing, and community involvement highlight well-rounded communication and leadership skills.
Now, let's address your concerns:
Indian IT Male Profile: Research and the CFA absolutely set you apart! M7 programs seek diverse experiences, and your unique blend of data science, finance, and research will make you stand out.
Low GPA: A 7.9 GPA isn't ideal, but a killer GMAT score (760+ is ambitious but achievable) can significantly help. Highlight your upward academic trend and strong work performance in your essays.
Extracurriculars: They're solid, but consider focusing on the community library project for demonstrable social impact. Maybe leverage your interests by speaking at a data science conference on AI ethics?
Wharton Dream: With your profile, it's possible. Focus on showcasing your unique data science-finance-AI intersection in your essays and recommendations. Network with Wharton alumni if you can.
Beyond Wharton, consider other M7 programs that align with your goals:
Columbia: Their Data Science specialization is a great fit.
Booth: Strong finance program with an innovation focus, perfect for your fintech aspirations.
MIT Sloan: Pioneering data science program, ideal for your tech background.
Overall, you have a strong profile with a compelling narrative. Focus on a high GMAT score, highlight your unique research and finance blend, and showcase your leadership and impact. With strategic application and a compelling story, you have a shot at your dream schools, including Wharton.
We offer free 1:1 profile evaluation calls, during which we can provide a more detailed analysis and discuss strategies to boost your chances at your target schools.
CLICK HERE TO SCHEDULE YOUR 1:1 FREE PROFILE EVALUATION CALL
raysabre18 wrote:
=12ptHi all,
I wanted a profile evaluation for my M7 MBA application for 2026 intake.
A bit about my background-
Age - 25, Male
Undergrad - B. Tech. Electrical engineering IIT Madras, CGPA 7.9 (it’s a bit low, as our department grades harshly)( JEE Main AIR- 9)
I’m currently working on GMAT prep, giving it in Nov this year, targeting 760+ (will not apply before that)
=12ptProfessional experience –
=12ptSenior Data Scientist, Mastercard AI Garage
=12pt
I have been working since Aug 2020, Got 2 promotions, Associate Specialist- Data Scientist II- Senior Data Scientist
=12ptI am currently involved in developing various AI Models as a part of real-time Acquirer Risk Management Solution, estimated to generate an annual revenue of ~120 million. I am also involved in ideating new products, from ideation to development to final production(in the pipeline, due to reorgs).
=12ptI have also developed end to end generative AI based( back in GPT 2 days xD) solutions which saved 100+hours for business analysts. Also, worked in developing two fraud based products for major financial institutions.
=12ptI have won AI Excellence award in the company for Q1 2023 and also secured 3rd in our internal hackathon.
=12ptI also have 3 patents filed currently in my name(in the process of filing more) and have actively worked on research projects and published 3 papers in top conferences( aiming for more this year, with one being in an AI in Finance domain).I also am involved in Research collaborations with top institutes like MIT and IITD
=12ptI have also cleared CFA L3(L1 and L2 above 90percentile) as I have always been interested in Finance( Main reason for choosing Mastercard too as I have always been interested in the FinTech space)
=12ptI have also delivered many talks on AI, in Kaggle Days meetup,Analytics Vidhya Data Hour and Mastercard podcast. Also, got the wonderful opportunity to deliver a guest lecture on AI in AML in Said Business School, Oxford
=12ptCurrently writing a book chapter on AI in counter terrorism for an ethics in AI to be published in Dec 2024( tentative)
=12ptI also interned at Fidelity Investments, which sparked my interest in the intersection between finance and data science ( and hence the CFA and Mastercard, and I know MC isn’t exactly fin fin, but I wanted to get a flavour of the fintech ecosystem)
=12ptI have also interned in IIMA, where I was working on optimizing and developing new algorithms for Mobile P2P communication. Also, interned in an edtech startup Bitwise, in my second year, where I primarily worked on adaptive learning algorithms to teach children better.
=12ptExtra Curriculars
=12ptCurrently, just started working on a community library project, which is a community library with a heavy emphasis on equality and inclusion( Reading has always been my hobby)
I lead the off the cubicles team, which is involved in organizing various activities like sports week etc to encourage bonding between the team.
=12ptAlso a part of the Design, Branding and communications team where we work on various initiatives showcasing AIG like women in Data science conferences, podcast and career sessions Linkedin posts, website, in office branding,
=12ptI was a part of the main organizing committee for the professional shows in Shaastra, the tech Fest in IITM
=12ptAlso, was a part of music club team in IITM where we organized various music events in our cultural fest Saarang.
=12ptLed an NSS project, where I organized a team of 10, for mentoring underprivileged children and also Volunteered at Suyam project, which is an NGO for underprivileged girls working on JEE and 12th std prep.
In School, I always used to actively participate in quizzing, and won a National quiz hosted by times of India, which gave me the opportunity to visit NASA centre. Always have secured podium positions in multiple quizzes on various topics like Math, Mythology and General(I know its weird xD)
My specific questions are -
I know my GPA is low (relative grading pains:- never was a fan of electrical engineering until last year, where I had the freedom to choose more math and AI courses)
=12ptI think i can make up for it with my GMAT score( Always been good at test taking)
=12pt1.I know I have the typical Indian IT male profile,I am not sure how much the research and CFA will help me stand out
2. How critical is this low GPA? will it be a dealbreaker for some schools even with a higher GMAT score?
=12pt3. I feel like my extracurriculars are a bit weak, thinking of working on more initiatives
=12pt4. Wharton has always been my dream school, and I have never been more sure especially after coming to know they offer a finance+Analytics( ML is literally analytics on steroids so), I feel like it would be a good fit for my future goals. Is this realistic considering how selective Wharton is?
4. If yes, which out of the M7s(Columbia, Booth, MIT) are definitely in reach?
=12ptHi all,
I wanted a profile evaluation for my M7 MBA application for 2026 intake.
A bit about my background-
Age - 25, Male
Undergrad - B. Tech. Electrical engineering IIT Madras, CGPA 7.9 (it’s a bit low, as our department grades harshly)( JEE Main AIR- 9)
I’m currently working on GMAT prep, giving it in Nov this year, targeting 760+ (will not apply before that)
=12ptProfessional experience –
=12ptSenior Data Scientist, Mastercard AI Garage
=12pt
I have been working since Aug 2020, Got 2 promotions, Associate Specialist- Data Scientist II- Senior Data Scientist
=12ptI am currently involved in developing various AI Models ,as a part of our flagship estimated to generate an annual revenue of ~120 million. I am also involved in ideating new products, from ideation to development to final production(in the pipeline, due to reorgs). =12ptI have also developed end to end generative AI based( back in GPT 2 days xD) solutions which saved 100+hours for business analysts. Also, worked on developing two fraud based products for major financial institutions.
=12ptI have won AI Excellence award in the company for Q1 2023 and also secured 3rd in our internal hackathon.
=12ptI also have 3 patents filed currently in my name(in the process of filing more) and have actively worked on research projects and published 3 papers in top conferences( aiming for more this year, with one being in an AI in Finance domain).I also am involved in Research collaborations with top institutes like MIT and IITD
=12ptI have also cleared CFA L3(L1 and L2 above 90percentile) as I have always been interested in Finance( Main reason for choosing Mastercard too as I have always been interested in the FinTech space)
=12ptI have also delivered many talks on AI, in Kaggle Days meetup,Analytics Vidhya Data Hour and Mastercard podcast. Also, got the wonderful opportunity to deliver a guest lecture on AI in AML in Said Business School, Oxford
=12ptCurrently writing a book chapter on AI in counter terrorism for an ethics in AI to be published in Dec 2024( tentative)
=12ptI also interned at Fidelity Investments, which sparked my interest in the intersection between finance and data science ( and hence the CFA and Mastercard, and I know MC isn’t exactly fin fin, but I wanted to get a flavour of the fintech ecosystem)
=12ptI have also interned in IIMA, where I was working on optimizing and developing new algorithms for Mobile P2P communication. Also, interned in an edtech startup Bitwise, in my second year, where I primarily worked on adaptive learning algorithms to teach children better.
=12ptExtra Curriculars
=12ptCurrently, just started working on a community library project, which is a community library with a heavy emphasis on equality and inclusion( Reading has always been my hobby)
I lead the off the cubicles team, which is involved in organizing various activities like sports week etc to encourage bonding between the team.
=12ptAlso a part of the Design, Branding and communications team where we work on various initiatives showcasing AIG like women in Data science conferences, podcast and career sessions Linkedin posts, website, in office branding,
=12ptI was a part of the main organizing committee for the professional shows in Shaastra, the tech Fest in IITM
=12ptAlso, was a part of music club team in IITM where we organized various music events in our cultural fest Saarang.
=12ptLed an NSS project, where I organized a team of 10, for mentoring underprivileged children and also Volunteered at Suyam project, which is an NGO for underprivileged girls working on JEE and 12th std prep.
In School, I always used to actively participate in quizzing, and won a National quiz hosted by times of India, which gave me the opportunity to visit NASA centre. Always have secured podium positions in multiple quizzes on various topics like Math, Mythology and General(I know its weird xD)
My specific questions are -
I know my GPA is low (relative grading pains:- never was a fan of electrical engineering until last year, where I had the freedom to choose more math and AI courses)
=12ptI think i can make up for it with my GMAT score( Always been good at test taking)
=12pt1.I know I have the typical Indian IT male profile,I am not sure how much the research and CFA will help me stand out
2. How critical is this low GPA? will it be a dealbreaker for some schools even with a higher GMAT score?
=12pt3. I feel like my extracurriculars are a bit weak, thinking of working on more initiatives
=12pt4. Wharton has always been my dream school, and I have never been more sure especially after coming to know they offer a finance+Analytics( ML is literally analytics on steroids so), I feel like it would be a good fit for my future goals. Is this realistic considering how selective Wharton is?
4. If yes, which out of the M7s(Columbia, Booth, MIT) are definitely in reach?
I wanted a profile evaluation for my M7 MBA application for 2026 intake.
A bit about my background-
Age - 25, Male
Undergrad - B. Tech. Electrical engineering IIT Madras, CGPA 7.9 (it’s a bit low, as our department grades harshly)( JEE Main AIR- 9)
I’m currently working on GMAT prep, giving it in Nov this year, targeting 760+ (will not apply before that)
=12ptProfessional experience –
=12ptSenior Data Scientist, Mastercard AI Garage
=12pt
I have been working since Aug 2020, Got 2 promotions, Associate Specialist- Data Scientist II- Senior Data Scientist
=12ptI am currently involved in developing various AI Models as a part of real-time Acquirer Risk Management Solution, estimated to generate an annual revenue of ~120 million. I am also involved in ideating new products, from ideation to development to final production(in the pipeline, due to reorgs).
=12ptI have also developed end to end generative AI based( back in GPT 2 days xD) solutions which saved 100+hours for business analysts. Also, worked in developing two fraud based products for major financial institutions.
=12ptI have won AI Excellence award in the company for Q1 2023 and also secured 3rd in our internal hackathon.
=12ptI also have 3 patents filed currently in my name(in the process of filing more) and have actively worked on research projects and published 3 papers in top conferences( aiming for more this year, with one being in an AI in Finance domain).I also am involved in Research collaborations with top institutes like MIT and IITD
=12ptI have also cleared CFA L3(L1 and L2 above 90percentile) as I have always been interested in Finance( Main reason for choosing Mastercard too as I have always been interested in the FinTech space)
=12ptI have also delivered many talks on AI, in Kaggle Days meetup,Analytics Vidhya Data Hour and Mastercard podcast. Also, got the wonderful opportunity to deliver a guest lecture on AI in AML in Said Business School, Oxford
=12ptCurrently writing a book chapter on AI in counter terrorism for an ethics in AI to be published in Dec 2024( tentative)
=12ptI also interned at Fidelity Investments, which sparked my interest in the intersection between finance and data science ( and hence the CFA and Mastercard, and I know MC isn’t exactly fin fin, but I wanted to get a flavour of the fintech ecosystem)
=12ptI have also interned in IIMA, where I was working on optimizing and developing new algorithms for Mobile P2P communication. Also, interned in an edtech startup Bitwise, in my second year, where I primarily worked on adaptive learning algorithms to teach children better.
=12ptExtra Curriculars
=12ptCurrently, just started working on a community library project, which is a community library with a heavy emphasis on equality and inclusion( Reading has always been my hobby)
I lead the off the cubicles team, which is involved in organizing various activities like sports week etc to encourage bonding between the team.
=12ptAlso a part of the Design, Branding and communications team where we work on various initiatives showcasing AIG like women in Data science conferences, podcast and career sessions Linkedin posts, website, in office branding,
=12ptI was a part of the main organizing committee for the professional shows in Shaastra, the tech Fest in IITM
=12ptAlso, was a part of music club team in IITM where we organized various music events in our cultural fest Saarang.
=12ptLed an NSS project, where I organized a team of 10, for mentoring underprivileged children and also Volunteered at Suyam project, which is an NGO for underprivileged girls working on JEE and 12th std prep.
In School, I always used to actively participate in quizzing, and won a National quiz hosted by times of India, which gave me the opportunity to visit NASA centre. Always have secured podium positions in multiple quizzes on various topics like Math, Mythology and General(I know its weird xD)
My specific questions are -
I know my GPA is low (relative grading pains:- never was a fan of electrical engineering until last year, where I had the freedom to choose more math and AI courses)
=12ptI think i can make up for it with my GMAT score( Always been good at test taking)
=12pt1.I know I have the typical Indian IT male profile,I am not sure how much the research and CFA will help me stand out
2. How critical is this low GPA? will it be a dealbreaker for some schools even with a higher GMAT score?
=12pt3. I feel like my extracurriculars are a bit weak, thinking of working on more initiatives
=12pt4. Wharton has always been my dream school, and I have never been more sure especially after coming to know they offer a finance+Analytics( ML is literally analytics on steroids so), I feel like it would be a good fit for my future goals. Is this realistic considering how selective Wharton is?
4. If yes, which out of the M7s(Columbia, Booth, MIT) are definitely in reach?
=12ptHi all,
I wanted a profile evaluation for my M7 MBA application for 2026 intake.
A bit about my background-
Age - 25, Male
Undergrad - B. Tech. Electrical engineering IIT Madras, CGPA 7.9 (it’s a bit low, as our department grades harshly)( JEE Main AIR- 9)
I’m currently working on GMAT prep, giving it in Nov this year, targeting 760+ (will not apply before that)
=12ptProfessional experience –
=12ptSenior Data Scientist, Mastercard AI Garage
=12pt
I have been working since Aug 2020, Got 2 promotions, Associate Specialist- Data Scientist II- Senior Data Scientist
=12ptI am currently involved in developing various AI Models ,as a part of our flagship estimated to generate an annual revenue of ~120 million. I am also involved in ideating new products, from ideation to development to final production(in the pipeline, due to reorgs). =12ptI have also developed end to end generative AI based( back in GPT 2 days xD) solutions which saved 100+hours for business analysts. Also, worked on developing two fraud based products for major financial institutions.
=12ptI have won AI Excellence award in the company for Q1 2023 and also secured 3rd in our internal hackathon.
=12ptI also have 3 patents filed currently in my name(in the process of filing more) and have actively worked on research projects and published 3 papers in top conferences( aiming for more this year, with one being in an AI in Finance domain).I also am involved in Research collaborations with top institutes like MIT and IITD
=12ptI have also cleared CFA L3(L1 and L2 above 90percentile) as I have always been interested in Finance( Main reason for choosing Mastercard too as I have always been interested in the FinTech space)
=12ptI have also delivered many talks on AI, in Kaggle Days meetup,Analytics Vidhya Data Hour and Mastercard podcast. Also, got the wonderful opportunity to deliver a guest lecture on AI in AML in Said Business School, Oxford
=12ptCurrently writing a book chapter on AI in counter terrorism for an ethics in AI to be published in Dec 2024( tentative)
=12ptI also interned at Fidelity Investments, which sparked my interest in the intersection between finance and data science ( and hence the CFA and Mastercard, and I know MC isn’t exactly fin fin, but I wanted to get a flavour of the fintech ecosystem)
=12ptI have also interned in IIMA, where I was working on optimizing and developing new algorithms for Mobile P2P communication. Also, interned in an edtech startup Bitwise, in my second year, where I primarily worked on adaptive learning algorithms to teach children better.
=12ptExtra Curriculars
=12ptCurrently, just started working on a community library project, which is a community library with a heavy emphasis on equality and inclusion( Reading has always been my hobby)
I lead the off the cubicles team, which is involved in organizing various activities like sports week etc to encourage bonding between the team.
=12ptAlso a part of the Design, Branding and communications team where we work on various initiatives showcasing AIG like women in Data science conferences, podcast and career sessions Linkedin posts, website, in office branding,
=12ptI was a part of the main organizing committee for the professional shows in Shaastra, the tech Fest in IITM
=12ptAlso, was a part of music club team in IITM where we organized various music events in our cultural fest Saarang.
=12ptLed an NSS project, where I organized a team of 10, for mentoring underprivileged children and also Volunteered at Suyam project, which is an NGO for underprivileged girls working on JEE and 12th std prep.
In School, I always used to actively participate in quizzing, and won a National quiz hosted by times of India, which gave me the opportunity to visit NASA centre. Always have secured podium positions in multiple quizzes on various topics like Math, Mythology and General(I know its weird xD)
My specific questions are -
I know my GPA is low (relative grading pains:- never was a fan of electrical engineering until last year, where I had the freedom to choose more math and AI courses)
=12ptI think i can make up for it with my GMAT score( Always been good at test taking)
=12pt1.I know I have the typical Indian IT male profile,I am not sure how much the research and CFA will help me stand out
2. How critical is this low GPA? will it be a dealbreaker for some schools even with a higher GMAT score?
=12pt3. I feel like my extracurriculars are a bit weak, thinking of working on more initiatives
=12pt4. Wharton has always been my dream school, and I have never been more sure especially after coming to know they offer a finance+Analytics( ML is literally analytics on steroids so), I feel like it would be a good fit for my future goals. Is this realistic considering how selective Wharton is?
4. If yes, which out of the M7s(Columbia, Booth, MIT) are definitely in reach?
Profile Evaluation and Uni Consideration- Indian Male | IIT
[#permalink]
01 May 2024, 07:49
Thanks a lot for replying with such a detailed answer! The response is extremely helpful in so many ways!
I just had one more question
Regarding the schools, i am more interseted in the MBA programs rather than the Data Science programs they are offering. Thats why i when i got to know Wharton MBA had a finance+analytics concentration, it instantly became my dream school( also the rich history). Among the other programs, While Columbia does not have any particular track per se( as per my research), Sloan has a finance track and Booth is also offering an analytics Finance concentration along the lines of Wharton MBA. So, wanted to know if Columbia, Booth and Sloan would still be a good fit
Once again, Thanks a lot!
I just had one more question
Regarding the schools, i am more interseted in the MBA programs rather than the Data Science programs they are offering. Thats why i when i got to know Wharton MBA had a finance+analytics concentration, it instantly became my dream school( also the rich history). Among the other programs, While Columbia does not have any particular track per se( as per my research), Sloan has a finance track and Booth is also offering an analytics Finance concentration along the lines of Wharton MBA. So, wanted to know if Columbia, Booth and Sloan would still be a good fit
Once again, Thanks a lot!