Built ML pipelines using Python and SQL. Developed models for education, finance, and manufacturing. Delivered insights via dashboards and reports. Projects included student success prediction, scholarship allocation, finance forecasting, and chemical property prediction.

Designed and implemented end-to-end ML pipelines, developed interpretable models, and delivered insights via dashboards. Improved model accuracy and supported strategic decisions.

Managed and analyzed laboratory datasets, automated dashboards, applied statistical models, and optimized experimental design. Improved quality control and reduced costs.

Automated data workflows, increased reporting efficiency by 30%, implemented predictive models for anomaly detection, and reduced operational costs by 15%.

Collected and analyzed production data, optimized extrusion and sealing processes, and created Power BI dashboards for real-time quality monitoring.

Reduced material waste by 10% through process optimization based on data insights.