Data
Current[Previously Superology]Leveraged data to inform strategic decision-making. Experimentation, analytics, and data flow setup, focusing on enhancing player experience and optimizing business performance. Driven resource optimization, KPI definitions, and experimentation across the company. Key skills:Statistical ModelingMachine LearningBayesian InferenceProbabilistic ProgrammingData Visualization ReportingCross-functional CollaborationResponsibilities:Experimentation: Designed, implemented, and analyzed online controlled experiments to understand the impact of product features, user interface changes, and marketing campaigns on player engagement and retention. Applied both Bayesian and Frequentist statistical methods.Analytics: Behaviour analysis, churn prediction.Data Flow Setup: Developed and maintained data pipelines to ensure data collection, processing, and storage.KPI Identification and Monitoring: Defined, tracked, and reported on KPIs driving the success of product. Created dashboards and visualizations for real-time monitoring of product performance.Technologies:Analytics: SQL(ClickHouse, Snowflake, Vertica), Python data stack, Tableau, GrafanaExperimentation Platforms: LaunchDarklyData Engineering: Apache Airflow, Apache KafkaBayesian Toolkit: PyMC