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11
June 16, 2020 12:12am ET
Applying: Berkeley / Haas, Dartmouth / Tuck, Duke / Fuqua, HEC Paris, INSEAD, London Business School, Michigan / Ross, MIT Sloan, Northwestern / Kellogg, U. Chicago Booth, UCLA Anderson
Intake Year: 2021
Pre-MBA Career: Data Scientist @ Fortune 50
Post-MBA Target Industry: Consulting, Technology Companies: Accenture , AT Kearney , Bain , Booz Allen Hamilton , BCG , Deloitte , McKinsey , Amazon , Apple , Facebook , Google , LinkedIn , Microsoft , Twitter
GMAT: 720
GPA: 8.45
Years of Work Experience: 3
Location: India
Post MBA Location: -
Notes:

Love the Podcast! I have been listening to it for almost a year. Its the only solace in the traffic-ridden commute to the office!
Profile:
25yo India Male
Undergrad: Tier I (non-IIT) college in India
Major: Dual Degree in Computer Science & Economics
GPA: 8.35/10
GMAT: 720 (50Q/36V) (will be writing again to improve)

Short Term Post-MBA Goal *surprise surprise* Plan A: Consulting (preference in teams focussed on AI/ML for Social Impact ex: Noble Intelligence of McKinsey)
Plan B: Product Management focussed on AI/ML products.

Long-term goals: Head product growth and strategy for Big-Tech (FAANG)

Work Experience:
3 years
- Data Scientist @ Fortune 50 company
- Promoted once.
- Cross-functional, Cross-cultural work experience, Client Facing work with clients in India, China, Americas, Turkey.
- Lead a team of 4 for an automation project.
- International Experience @ a Latin American country.
- Finalist in a couple of Data Science Awards:
a) High Impact on Client - Top Line Growth category.
b) AI Innovation for Renewals Prediction.

Roles of Responsibilities @ Undergrad:
Elected-Secretary, Economics Association: Conducted various events and guest lectures around the year.
Led the association to win the ‘Best Technical Association Award’ for that year.

Undergrad Extracurriculars / Volunteering : 
1. Worked with an NGO with the objective of spreading awareness on some of the most pressing issues of society such as HIV AIDS, Drub Abuse. 
2. One of the founders of the Movie Club in the college – it grew to 100+ members now.

Post-college Volunteering:
-Working with an NGO in California to help design its impact studies and extract meaningful insights from its data. The Impact Studies and Insights will be used for fundraising pitches.
- As a member of the ‘Data Science & AI 4 Good’ program in the company, I help an NGO that works for mental health and suicide prevention causes by mathematical modeling & machine learning.

Hobbies:
- Amateur Astronomer- Member of one of India’s most active amateur astronomers association. Took part in various star parties. I will be completing a certification in Astronomy and Astrophysics with Dissertation from a research institute in Bangalore, India in October.
- Surfing (in the water :) )

My concern is, all my volunteering activities are data analysis focussed, which is what I do in my day job as well. Would that make me look uni-dimensional?
Also, the years work experience, especially for European schools, is it too low?