timi-lanre

Data Engineering: Python, SQL, AWS (S3, EC2, RDS), PostgreSQL. Learning: Kafka, Spark, XGBoost, MLflow. Product Skills: User research, analytics, business strategy. Generalist with deep data focus.

Product strategy & user research to complement my data engineering skills. Diving deep into Kafka, Spark, MLflow for real-time analytics. Learning how to bridge technical depth with business impact.

NBA Analytics Platform with historical performance insights, Real-Time Stock Market Analytics using streaming data, and AI-Powered Sports Predictions with explainable ML. Building in public!

Collaborating on sports analytics projects, discussing the transition from engineering to product roles, mentoring on AWS/Python, and connecting with others building data products that users love.