• 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.

• My interests lie in econometrics (causal inference, time series, and microeconometrics), statistics, and programming.

• You can reach me on:

  

• I have experience with:

• In addition to: •Mathematical Statistics & Probability •Inference & Modelling •Classical and Bayesian Statistics •Machine learning •Causal inference •STATA

Here are a few projects I've worked on (pinned and private repos):

• Python:

  • Web app to address an issue faced by first generation low income students (with Matplotlib, Numpy, Pandas, SQLite, Streamlit and some HTML) - Resale Revolution
  • Sales data analysis (with Matplotlib and Numpy)

• 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]

• SQL:

  • Natural Disasters & Monetary Impact (after reading ‘Extreme Economies’)
  • F1 racing MOOC challenge

• Others:

  • STATA: Discrete choice modelling (random coefficients/mixed & 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 (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 more of my work here. Find some of my attempts at puzzles and challenges here