About
I'm a Data Analyst at an analytics consulting firm, currently working on subscription and device-engagement analytics for a global gaming & entertainment platform. I build large-scale distributed data pipelines and turn messy telemetry into reporting datasets and KPIs that product and monetization teams actually use.
My day-to-day is SQL, PySpark, Python and Microsoft SCOPE across Azure Data Lake, Databricks and Cosmos. I've built subscription lifecycle analytics across first-party and partner subscription services, device reactivation analysis, and month-over-month retention and conversion reporting.
Outside client work I like building end-to-end data projects (a real-time fraud detection pipeline on Kafka + Spark Structured Streaming, a university knowledge graph benchmarked against LLMs) and writing about Large Language Models on Medium.