At Unified Mentor, I led business intelligence and requirements analysis for workforce attrition and product profitability projects, transforming 10,000+ records into strategic insights. I automated data preparation and reporting with Python ETL frameworks, saving 3–5 hours per week.
I also built interactive Power BI, Tableau, and Streamlit dashboards to make business insights accessible. In my customer churn project, I analyzed 7,043 customer records, developed predictive models, and used statistical testing and local LLM-powered AI to support retention planning.
