Working Paper for Finance/Investing Journals:
"Modeling and Forecasting S&P500 using Ornstein-Uhlenbeck Process with a Time-Varying Mean"
Thesis for MA Economics @CUNY:
"Trends in U.S. Wage Inequality from 1963-2020, and its Causes" [July 2022]
Data Science CAPSTONE Project @MIT Professional Education:
"To build a classification model to predict which clients are likely to default on their loan, and give recommendations to the bank on the important features to consider while approving loans to minimize losses" [June 2022]
Data Science Course Projects @MIT Professional Education:
Recommender Systems: "Building a recommendation system to recommend the best Amazon products to the users" [May 2022]
Neural Networks: "Recognizing the Street View Housing Number Digit using Neural Networks" [May 2022]
Time Series: "Forecasting the stock prices using time series (ARIMA) models" [May 2022]
Decision Trees/ Random Forest: "identifying which leads are more likely to convert to paid customers based on attributes of leads and their interaction details" [April 2022]
Logistic Regressions/ KNN: "Predicting the cancellation of hotel bookings" [April 2022]
Unsupervised Learning (Dimensionality Reduction & Clustering): "Applying dimensionality reduction on the auto-mpg dataset"; "Identifying different segments in the existing customer base, taking into account their spending patterns as well as past interactions with the bank" [April 2022]
EDA/Data Visualization: "Analyzing the marketing campaigns to help CMO devise the next strategy" [March 2022]
Economics Course Projects @CUNY:
"China Trade impact on US Manufacturing Employment" [2018];
"Tipping Point in a Multicultural Society " [2017]
Makes Cents, Inc. [June '25 - Present]
VP, Head of Data & Decision Science
Ford [April '25 - June '25]
Data Science Consultant
Acxiom [Feb '25 - April '25]
Data Science Consultant
Wendy's [Oct '24 - Feb '25]
Data Science Consultant
Hilton [Aug '24 - Nov '24]
Data Science Consultant
Nielsen [July '22 - Sep '24]
Principal Data Scientist (full time)
CUNY [Feb '23 - May '24]
Economics & Finance Tutor (part time)
Self Employed [Feb '20 - Present]
Portfolio Manager (part time)
Morgan Stanley, JP Morgan, UBS, Barclays [Oct '10 - Jan '20]
Risk Auditor
Swiss Re [June '07 - July '10]
Trader & Risk Manager (Capital Structure Arbitrage)
DEGREES:
City University of New York
MA in Economics [July 2022]
Columbia University
MS in Engineering & Management Systems (Quant. Finance Concentration) [May 2007]
IIT Bombay
B-Tech in Chemical Engineering [June 2002]
CERTIFICATIONS:
Columbia University/Coursera, 'Decision Science and Reinforcement Learning' [August '24]
IBM/Coursera, 'Generative AI Language Modeling with Transformers' [August '24]
Coursera, 'Generative Pre-trained Transformers' [July '24]
Coursera, 'Bayesian Statistics' [June '24]
Deeplearning.ai/Coursera, 'Natural Language Processing' [Nov '23 - Mar '24]
Stanford Online/EdX, 'Quantum Mechanics for Scientists & Engineers - I' [Nov '22]
MIT X-PRO, 'Introduction to Quantum Computing' [Nov '22]
MIT Professional Education, 'Applied Data Science' [June 2022]
Google/Coursera, 'Data Analytics' [March 2022]
GARP, 'Financial Risk Management - I' [2015]
IIT JEE Entrance Examination [2002]
Ranked among the Top 0.5% (out of 180,000 students) in the IIT JEE entrance examination
Physics Olympiad [2001]
Ranked among the Top 1% (out of 25,000 students) in Indian National Physics Olympiad, conducted by the Indian Association of Physics Teachers.
Math Olympiad [2000]
Placed among the Top 300 students in Indian National Mathematics Olympiad, and ranked 9th in the Regional State Level Mathematics Olympiad, conducted by the Central Board of Higher Mathematics, Atomic Energy Department, India