Data-driven exploration of player performance, game mechanics, and market dynamics in gaming and sports datasets.
Developed a custom code + Power BI dashboard using Kaggle-sourced EA SPORTS FC 25 player data to analyze player distributions, positional trends, and performance patterns. Built interactive visuals and automated metrics to surface key roster insights, with findings highlighting meaningful relationships between player attributes and overall ratings.
Player Analytics
View Image →Analyzed high-skill player behavior using large-scale match data to identify gameplay patterns and performance trends. Built dashboards to explore decision-making and engagement, with statistical validation confirming which behaviors drove consistent high performance.
Telemetry Analysis
View Project →Evaluated how party play impacts player performance and match outcomes using behavioral and statistical analysis. Designed dashboards to compare collaboration vs solo dynamics, with findings identifying which gameplay contexts significantly influenced success.
Behavioral Analytics
View Project →Analyzed gameplay patch effects using historical match data to track changes in hero performance and player behavior over time. Used trend analysis and visual reporting to identify balance shifts, with statistical testing confirming which updates had meaningful competitive impact.
Game Balance Analytics
View Project →Analyzed gaming CRM campaign performance across multiple engagement channels using campaign and user interaction data. Built dashboards and conducted A/B testing to measure retention and engagement impact, with findings highlighting statistically significant campaign drivers.
CRM Analytics | A/B Testing
View Project →Interactive Power BI dashboard analyzing FIFA 18 player ratings, positional distributions, and performance attributes using Kaggle dataset. Built visuals to surface key insights across player groups, leagues, and nationalities.
Player Analytics
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