Analyst

Developed a ML model for employee access pattern analysis using time-series (ARIMA) and clustering methods, improving arrival/departure time prediction accuracy by 40%. Engineered a data pipeline to ingest and clean IoT access logs, reducing data preprocessing time by 60% and enabling real-time dashboards for HR analytics. Automated report generation for HR dashboards using Python and SQL, saving 10+ hours per week in manual analysis.