I’m here to investigate and solve problems thrown my way.
Available Work Locations: San Antonio, TX
Core Technologies: Python, MySQL, Spark, Tableau, Pandas, NumPy, Matplotlib, Seaborn, SciKitLearn, Anaconda, Jupyter Notebooks, Git/GitHub
Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Hire Me Because
My Capstone Project: Tennis Match Prediction and Federer the Great
Using ATP tennis match data from the years 1999 – 2019 (provided by Jeff Sackmann), we used modern machine learning algorithms to predict the winner of tennis matches, and we explored drivers of greatness by comparing Roger Federer and his top rivals to any player who ranked within the top 100 for this time frame. Our best models were able to accurately predict the winner 64% of the time.