David Kandy

I’m a senior data and analytics professional who embeds analytics into product development—helping teams move from data to decisions that drive growth. I architect ETL/ELT pipelines, build predictive models, and deliver real-time analytics systems using Python, SQL, and cloud platforms.

Most recently, I led data initiatives for a mobile gaming studio focused on monetization and player retention. I modernized a monolithic SQL setup by implementing DBT, turning the warehouse into a single source of truth with reusable data models and faster, scalable dashboard performance.

I also build analytics that leadership can act on immediately—like a Live Looker Studio executive dashboard unifying marketing spend, ad revenue, and conversion metrics. In parallel, I ran deep IAP purchaser analysis to uncover purchase patterns and support targeted promotional campaigns.

Earlier roles strengthened my end-to-end approach: I built a predictive product recommendation engine (machine learning) and led market and customer trend analysis, while maintaining rigorous data quality. I’ve also developed automated KPI reporting, anomaly detection for sensor data, and demand forecasting that reduced operational issues.