At IMPACT ANALYTICS, I developed and supported ETL pipelines for enterprise retail data using Python, SQL, Apache Airflow, and Snowflake. I also performed data validation and troubleshooting to support downstream analytics and AI workflows.
I created Power BI dashboards, KPIs, alerts, and reports for inventory health, allocation, and replenishment. My work supported inventory allocation, demand and sales forecasting, and stock-out analysis.
In my projects, I developed retail inventory optimization workflows and forecasting features, and built machine-learning projects including a deepfake detection pipeline deployed using Azure. I also analyzed customer and hotel datasets at LABMINTEX and developed a student performance analytics system at ZIDIO TECH SOLUTIONS.
