I am finishing a Bachelor’s in Economics and preparing to begin my career, with coursework and projects that build quantitative and analytical skills.
A collection of class projects and assignments that demonstrate my analytical approach, quantitative methods, and economic thinking during my senior year.
Cleaned and analyzed a 2,400-observation dataset; built dummy variables and ran OLS regressions and identified statistically significant gender differences in suicide mortality. Improved model explanatory power from 1% to 33% by adding controls for age, occupation, education, and urban status.
Analyzed 1,386 observations from The Economist’s Big Mac Index to compute PPP misalignment across countries. Built visualizations and regression models showing that higher Big Mac prices predict currency overvaluation (β = 0.189, p < 0.001).
I am finishing a Bachelor’s in Economics and preparing to begin my career, with coursework and projects that build quantitative and analytical skills.
I’m Ayantika Kumar, a senior at San Francisco State University pursuing a Bachelor’s in Economics. My studies emphasize economic theory and quantitative methods, equipping me with analytical skills. I am actively exploring various career paths in economics, aiming to apply my knowledge in real-world scenarios. I am excited about the opportunities ahead and look forward to contributing my skills to a dynamic team.
Experience
Academic Tutor – The Tutoring Club, Millbrae, CA
The Tutoring Club, Millbrae, CA · September 2023 to May 2024
Customer Service Representative – Lowe's Home Improvement, San Bruno, CA
Lowe's Home Improvement, San Bruno, CA · December 2022 to February 2023
Sales Associate – Spirit Halloween, Millbrae, CA
Spirit Halloween, Millbrae, CA · September 2022 to November 2022
Accounting Clerk – K Raj & Companies, Fiji
K Raj & Companies, Fiji · March 2018 to April 2020
Education
San Francisco State University
B.A. Economics
Skyline College
A.A. Economics
Skills
Cleaned and analyzed a 2,400-observation dataset; built dummy variables and ran OLS regressions and identified statistically significant gender differences in suicide mortality. Improved model explanatory power from 1% to 33% by adding controls for age, occupation, education, and urban status.
Analyzed 1,386 observations from The Economist’s Big Mac Index to compute PPP misalignment across countries. Built visualizations and regression models showing that higher Big Mac prices predict currency overvaluation (β = 0.189, p < 0.001).