Projects

Predictive Outcome Analysis (POA)

Short Description:
Machine learning project that predicts MMA fights based on historical data
Link to demo model – built with streamlit

Bayesian Modeling of UFC Rankings

Short Description:
Applied bayesian markov chain techniques with logistic regression to evaluate how well the UFC rankings describe a fighter’s likelihood of winning.
Tools used: bambi, arviz, pandas, numpy
Link to full article
Link to colab notebook with code

Bookscraper

Short Description:
Data Engineering project that takes online book data on books.toscrape.com and stores it in a local SQLite database.
Link to full article
Link to Github repository

Game Theory Simulation

Used monte carlo simulation to optimize draft selection of fantasy basketball by applying the game theory framework of a blotto game
Tools used: numpy, random, matplotlib
Link to Github repository

MPG API

Short Description:
Data Engineering project that creates a RESTful API to serve a neural network that estimates the fuel efficency of a car (MPG) based factors like engine size, cylinders, model year etc.
Tools used: flask, requests, keras, pandas, sqlite
Link to Github repository

Footwear Forecaster

Short Description:
Machine Learning project where I create a generalized linear regression model with big data capability using pyspark that predicts the price of shoes; includes natural language processing with word embeddings.
Tools used: pyspark, databricks cloud platform
Link to Github repository

Basketball Analytics & Visualization

Short Description:
Evaluating shot quality of NBA teams visually and with custom metrics
Link to Github repository