Abdul Rahman

I've built operational data tools for fuel-delivery logistics, turning daily CSV exports into standardized, actionable performance data.

For an external client, I developed a Streamlit application that calculated driver and route KPIs including stops per hour, gallons per hour, on-time delivery rate, and route completion time. I also created filterable driver views, drill-down history, interactive trend charts, and file-change detection for new operational data.

At Keypilot, I wrote SQL using joins, CTEs, and window functions to reconstruct workflows and validate system data against team averages. I connected Python applications to MySQL to centralize property and agent data across sources, while automating daily reports to reduce manual compilation errors.

I'm focused on data validation, KPI tracking, and reporting automation using Python, SQL, Apache Airflow, dbt, Snowflake, and MySQL. I'm seeking to grow in a logistics-tech environment alongside experienced data analysts and data scientists.