Project Name: Racket Science
Using data from 1999 - 2019 and modern machine learning algorithms, our team aims to predict the outcome of tennis matches based on the players’ statistics and data of their professional matches. Our decision tree model was able to predict the correct winner with an accuracy of 64%.
Learn, adapt and overcome is the motto. Adding value to the team and the client is alway number one priority.
Understanding the current situation to have a clear path to improvement for my team and clients. It is not hard to learn what will improve the data or the baseline model in data science, but it could be challenging to adapt some computer code to the culture's status quo.
Dallas, Texas, Miami Metro Area, Florida, or Remote.
Creative, loyal, and reliable.
Data science, cause and effect, story telling.
