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I’m looking to collaborate on interesting projects in the realms of data science and machine learning along with its applications in finance and economics.
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My interests lie in econometrics (causal inference, time series, and microeconometrics), statistics, and programming.
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You can reach me on:
- I have experience with: •Python •SQL •STATA (statistical software) •HTML&CSS •Javascript •Tableau •R
Here are a few projects I've worked on (some pinned repositories and private repos):
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Python:
- Resale Revolution - web application to address an issue faced by first generation low income students (with Matplotlib, Numpy, Pandas, SQLite, Streamlit and some HTML)
- Sales data analysis project (with Matplotlib and Numpy)
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SQL:
- Natural Disasters & Economic Impact Project (after reading ‘Extreme Economies’)
- F1 racing MOOC challenge
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R:
- Statistical modelling (distributed lag non-linear models & meta-regressions) focusing on the economic perspectives of climate effects on health (while working as a MITACs research intern) [R for DLNM]
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Others:
- STATA: Discrete choice modelling (random coefficients/mixed and conditional logit models using MLE), based on the paper "Emissions Trading, Electricity Restructuring, and Investment in Pollution Abatement" by M. Fowlie
- STATA: Statistical and Econometric Analysis of the determinants of dealer profits & variables that influence earnings (using multiple regression analysis and considering heteroskedasticity, multicollinearity, specification bias and more)
- HTML, CSS: Responsive web design projects
- Swift & Xcode: The Sciences - IOS educational app (currently not maintained)
Find out more about my work here. Find some of my solutions to coding puzzles and challenges here!