Data Analyst
& Management
Consultant.

Performance analysis of Messi and Ronaldo using Python to predict goals scored and assists. Applied data wrangling, modeling, and visualization to uncover performance trends, improving prediction accuracy by 70%.

Led analysis of 10 broadband expansion case studies, projecting a 15% rise in remote jobs. Coordinated with 15 stakeholders including ISPs and policymakers to design rural broadband solutions and a roadmap for infrastructure improvements.

Analyzed student performance data in R Studio to assess the impact of extracurricular activities and parental support on GPA. Used hypothesis testing and statistical modeling to identify key factors and presented findings with actionable recommendations.

Built a fully interactive Python application that maps teammate connections across multiple Premier League seasons. Features shortest-path player connections, club transfer networks, and dynamic visualizations — all queryable through a terminal-based menu interface.

Analyzed NBA play-by-play data to model how team chemistry — measured through network metrics like centrality, density, and reciprocity — predicts game outcomes. Applied logistic regression and OLS modeling to assess how star player departures affect offensive efficiency.

Explored patterns and relationships among S&P 500 companies using 5 years of historical price data. Identified stock clusters using K-Means and hierarchical clustering, built a correlation network to surface systemic risk, and visualized behavioral groups through PCA and dendrograms.