Ethan Allavarpu's Projects
Stats 101C: Introduction to Statistical Models and Data Mining - Midterm and Final Projects
Analyze coin toss decisions in the NFL
Predict PG&E shutoff length (minutes) for PSPS events based on weather, demographic, and circuit information. We use a variety of regression models, including tree-based models, neural networks, and regularization.
The goal of this research is to determine whether presidents had differed in their application of drone usage along with the fatality rates of those strikes in Pakistan, Somalia, and Yemen. Additionally, we include an interactive web application to display the data visually with various filters.
Advanced machine learning models to predict future fantasy football performance
Analysis of fantasy football data and trends from the past 10 years (i.e., 2010 - 2020) and predictions for the next NFL season
Understand the evolution of the free throw by position in the NBA
Analysis of leadership and societal perspectives across various countries
Create an autograder for English proficiency assessments using deep learning. We assess both written and spoken components of such exams
Analyze "winners" and "losers" of the Premier League's Project Restart through chi-square tests and post-hoc analysis to see which teams overperformed and underperformed.
Datafest 2021: We analyzed various trends in drug misuse frequencies to determine which demographics played the greatest role in predicting misuse
Data analysis of the NFL combine and fantasy football statistics, with a primary focus on the quarterback (QB) position (BSA Spring 2020)
Analysis of Predictive inference with jackknife+, a new method for creating prediction intervals with stronger coverage guarantees
Stats 101C Final Project, Fall 2020
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent