Zayn S.

• Leveraged Python, PySpark and SQL on Azure Databricks to analyze 40MM transactions data, implemented RFM model for customer segmentation, formulated promotion strategy and designed A/B testing for loyalty program • Built LightGBM classification model to forecast customer attrition period with 95.4% accuracy & 91.7% F1 score, developed CatBoost regression model to predict churn date using time series cross-validation, achieved 1.69 RMSE

• Generated actionable insights through user behavior data analysis on SQL & Tableau, initiated global user growth strategy and onboarded 100k community members, added new revenue stream for product through partnerships • Managed and led 10+ campaigns on product Discord server, maintained strong relationships with users, invented redemption system resulting in 200% increase of server activation rate, elevated app retention rate by 15% • secured 1st place on App Store in 20+ countries

• Facilitated data collection & analysis for 10 clients' annual reports and BrandZ brand equity database on SQL • Executed 5+ primary market research & competitor analyses for consumer goods, food & retail industry clients