Candidate:

Mr. Financial Crimes Detector

About Me:

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.

Schools:

Target School: MIT Sloan

Considering: Tepper

See More Profiles For: MIT Sloan

Application Status: Open

Details:

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

Work History:

Title: Senior Data Scientist

Industry: Banking & Finance

Company: Fortune 500

Length of Employment: 6 yrs, 10 mos

Big Life Wins:

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.

Post MBA Goal:

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.