Collaborating in a 3-person team to conduct data-driven research on sports analytics, covering data collection, processing, and visualization. Utilizing Pandas for data cleaning, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning. Applying statistical models to analyze complex datasets and communicate insights through dynamic dashboards.

Researched and explored Neurogenetics and the effect of protein mutations on behavior and learning of Drosophila melanogaster (common fruit flies) at the University of Texas Austin. Utilized Programming Language R for data analysis.

Researched and analyzed the effect of negative emotionality on professional male tennis players' performance through the use of the programming language R under the mentorship of Andrew Savoy, a Ph.D. Psychologist from the University of Chicago