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Demographic info: first gen college graduate and URM.
My intention was to go into the Foreign Service (hence policy school). Fell in love with data and ended up a data scientist at a top 10 bank. I have spent my career working in machine learning for anti-money laundering and anti-fraud. I’ve had three promotions and am a VP.
Target School: MIT Sloan
Considering: Tepper
See More Profiles For: MIT Sloan
Application Status: Open
Undergrad School: University of Rochester
Undergrad Major: International Relations
GPA: 3.41
GMAT: 720 (anticipated, will take class for a higher score if needed)
Age: 32, Ethnicity: Hispanic or Latino
Other Degree/Certification: MS Public Policy
School Name: Carnegie Mellon - Heinz
Extracurriculars: Judge and Mentor - High School Data Science Contest
Title: Senior Data Scientist
Industry: Banking & Finance
Company: Fortune 500
Length of Employment: 6 yrs, 10 mos
Undergrad: won two nationally competitive scholarships to study abroad and one to study public policy and international affairs.
Post-education: won internationally competitive fellowship to study and work abroad.
Chose the more tech focused MBAs because I still want to be machine learning adjacent. I want to transition from developing and implementing data pipelines and machine learning models to driving strategy and managing digital products.
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