At Game District, I analyze live game and player data with SQL to track engagement, retention, and monetization trends that inform growth planning and business objectives.
I design A/B tests and scenario-planning exercises to evaluate feature performance, turning results into actionable product and growth recommendations. I also build automated Python pipelines and dashboards that improve reporting accuracy and turnaround time.
Previously at Atheneum Pvt Ltd, I used SQL, Excel, and Python to identify trends, variances, and market-performance drivers. I supported forecast adjustments, strengthened data quality across systems, and delivered business intelligence through Power BI and Metabase reporting.
I've also delivered freelance analytics solutions using Power BI, Excel, and Python, from data cleaning and modeling to interactive dashboards. My work includes game monetization reporting for IAP revenue, LTV, ARPPU, ARPDAU, ad revenue, and cohort-based analysis.
