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Some interesting projects:

Indian Buffet Process Paper: (Paper) (Code) 

• Wrote paper describing implementation of Indian Buffet Process algorithm

• Used NumPy to implement Markov Chain Monte Carlo model with IBP prior

• Optimized algorithm with vectorization, just-in-time compilation

• Demonstrated algorithm by performing latent feature analysis on simulated images

Analysis of Wisconsin Basketball: (Writeup) (Code)

• Investigated large database of information concerning NCAA basketball on Bigquery

• Used SQL to query information about schools, programs, players, and game events

• Generated statistics and graphics for query results using Python

• Wrote paper evaluating history and overall strength of Wisconsin men's basketball program

Analysis of Melbourne Real Estate Market: (Writeup) (Code)

• Created real estate dataset by combining web listings, tax records, and geospatial data

• Analyzed postcodes by clustering into groups, generating maps with Geopandas

• Used Python to statistically analyze and model prices for individual listings

• Found that Random Forests could explain over 82% of variation in the data out of sample

Paper about Predicting MLB Attendances and Prices: (Paper) (Code)

• Wrote paper analyzing MLB attendances and resale prices of MLB tickets on secondary markets

• Used Scikit-learn to build predictive models for ticket prices and attendances using Stubhub data

• Showed that the timing of ticket sales makes little difference when predicting ticket prices

• Demonstrated significant differences in behavior between frequent and casual sellers on Stubhub

Paper about Healthcare and Development: (Paper) (Code)

• Wrote paper analyzing elasticity of healthcare spending in a development setting

• Used R and Stata to clean survey data and generate appropriate econometric models

• Found no immediate statistical relationship between pregnancies and healthcare spending

• Found that households may delay healthcare spending 1-2 years following childbirth

Paper about Efficacy of Death Penalty: (Paper) (Code)

• Wrote paper attempting to determine whether the death penalty impacts crime rates

• Used Stata to build models evaluating relationships between death penalty and various crime rates

• Found mixed results but overall significant correlation between death penalty and crime rates

• Discussed overall feasibility, pitfalls of studying association of the death penalty with various crimes

Algorithmic Trading Project: (Code)

• Implemented automated trading algorithm using Python on the Quantopian platform

• Selected securities to trade based off of trailing returns and CVaR

• Hedged positions by calculating market correlation of portfolio and shorting index funds

• Record modest returns and minimal market correlation over duration of project

Neural Network for Handwriting Recognition: (Code)

• Implemented Neural Network from scratch in Python

• Trained Neural Network to classify handwritten numbers from the MNIST data

• Recorded over 98% classification accuracy out of sample on the MNIST data

• Correctly classified all of my own handwritten numbers

Completed Project Euler Problems: (Code)

• Some solutions to an old Project Euler competition on Hackerrank

• Used Python to solve computationally intensive number theory problems

• Scored in top 2% while active in competition