Hazrat Bilal

Designed and optimized scalable backend services using Python and FastAPI, improving API performance by 35%. Implemented secure authentication and real-time features, and resolved production issues reducing system errors by 40%.

Taught Python Programming, Database Systems, and Data Science to undergraduate students. Designed hands-on labs covering SQL, relational database design, and data analysis workflows.

Designed and implemented scalable data pipelines ensuring data reliability, security, and integrity. Developed predictive models for forecasting and trend analysis, achieving up to 90% accuracy.

Designed and maintained SQL databases supporting structured institutional data workflows. Developed real-time Power BI dashboards for monitoring key operational metrics.

Cleaned, wrangled, and managed large datasets to ensure data accuracy across humanitarian programs. Produced analytical reports and dynamic Excel dashboards tracking project outcomes.

Automated data processing workflows, reducing manual effort by 65%. Built ML models for predictive analytics achieving up to 85% accuracy.

Designed data pipelines and Power BI reporting flows; built interactive dashboards increasing stakeholder engagement by 75%.

Currently pursuing a Master of Science in Data Science, expected to complete in 2026.

Grade: 3.15 / 4.00

Completed a Bachelor of Science in Computer Science with a CGPA of 3.15 out of 4.00.