Smart Traffic — reproducible multimodal ITS pipeline (public datasets): Kafka streams → Spark Structured Streaming + Delta Lake, MinIO frames, YOLOv8+ByteTrack + LightGBM→ONNX workers, Streamlit UI, Prometheus/Grafana. Docker-first, CPU-only, Windows-friendly.

Production-grade ELT pipeline: NYC TLC taxi data → Snowflake → dbt → Streamlit + Grafana FinOps | Astronomer (Airflow 3) orchestration

Leakage-free hourly demand forecasting project using NYC TLC High Volume FHV trip data, temporal baselines, and machine learning models.

End-to-end data analytics project on NYC taxi data including cleaning, EDA, and insights on trip patterns, fares, and peak demand.

Data pipeline implementing Medallion Architecture with PySpark and MongoDB for NYC TLC Trip Data, including comprehensive data auditing.

Downloader, schema-drift analyzer, and K6 SQL Server load tester for NYC TLC taxi trip data