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Manan Bajaj

@mananbajaj

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Economics and data science analyst delivering actionable, data-driven financial insights.

United States

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What I'm looking for

I seek analytical roles where I can apply Python, statistics, and financial modeling to deliver data-driven recommendations and grow into advanced analytics or consulting responsibilities.

I am an Economics and Data Science graduate from New York University with strong quantitative and analytical skills, a 3.83 GPA, and award-winning hackathon experience.

In consulting and internship roles I used Python, Excel, SQL and statistics to quantify economic harm, optimize marketing spend, and analyze large datasets to inform regulatory and business strategy.

I have led equity research and revenue-loss projects that produced clear, monetized recommendations—performing DCF, comparable company analysis, and cleaning 100,000+ records to identify $697,745 in recoverable revenue.

I enjoy mentorship and communication, having taught and led workshops for hundreds of students; I focus on translating complex technical findings into actionable insights for stakeholders.

Experience

Work history, roles, and key accomplishments

Learning Assistant

NYU Learning Center

Jan 2023 - Dec 2024 (1 year 11 months)

Mentored over 500 students in Statistics and Data Science and led workshops for 100+ students, improving comprehension of complex technical topics through structured instruction and materials.

Teaching Mentorship Workshop Facilitation Statistics Data Science Communication Curriculum Development

Consulting Intern

Europe Economics

Sep 2023 - Dec 2023 (3 months)

Quantified €310M annual economic harm from scam calls in Ireland to inform ComReg policy and analyzed 10+ large datasets to support increased firm participation in the €230B EU ETS auction; presented data-driven findings to clients and legal counsel.

Regulatory Economics Python Excel Data Analysis Quantitative Research Policy Analysis

Analyst Intern

Playbook Sports

Feb 2022 - May 2022 (3 months)

Analyzed Google Ads and marketing data using Python to cut ad spend by 10%, increase website traffic by 15%, and improve ad ROI by 20% through keyword optimization and cost strategy recommendations.

Python Marketing Analytics Excel ROI Optimization Data Visualization A B Testing

Education

Degrees, certifications, and relevant coursework

New York University, College of Arts & Sciences

Bachelor’s Degree, Economics and Data Science

2020 - 2024

Grade: 3.83/4.00

Activities and societies: Relevant coursework: Investment Banking and Private Equity, Data Structures, Theory of Probability and Statistics, Linear Algebra, Deep Learning, Machine Learning, Econometrics, Intermediate Microeconomics, Intermediate Macroeconomics, Financial Accounting, Money and Banking, Mathematics for Economics I & II; Awards: NYU Tandon Hackathon Overall Winner, NYU Dean’s List

Bachelor’s Degree in Economics and Data Science with a 3.83/4.00 GPA; completed coursework in econometrics, machine learning, statistics, linear algebra, and finance-related subjects; awarded NYU Dean’s List (2020–2024) and winner of NYU Tandon Hackathon.