My background in Reverse Engineering of Malware and Digital Forensics brings a unique perspective to my creative process as a Data Scientist. Solution-Oriented and always learning, I set my eyes on a goal and always get there.
Available Work Locations: Remote • San Antonio, TX
Inactive Top Secret
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: ROGER FEDERER VS THE WORLD
Classification Modeling Project.
A capstone group project where we are taking data from the last 20 years of professional men’s tennis and exploring to identify drivers of win. Using modern machine learning algorithms, the Racket Science team aims to predict the outcome of future matches. We are also delving into the career stats of Roger Federer whom some considered to be the best to ever play the game. We are discovering his drivers of greatness and comparing those drivers to his top rivals to see if he is truly unmatched or if he has been dethroned. We are also exploring the first 50 games of Federer and his rivals to determine if their rise to tennis fame could have been predicted early on.