I processed 50,000+ sales records with SQL and Python to build a Power BI KPI dashboard that improved forecasting accuracy by 20%.
I also built a customer churn logistic regression model that achieved 72% accuracy against a 50% baseline, identifying key churn indicators through statistical analysis.
My Pandas-based ETL pipeline reduced manual data-cleaning time by 60% across CSV-based datasets. I bring hands-on experience in data cleaning, modeling, KPI tracking, reporting automation, and dashboard development.
At Microware Computing and Consulting, I analyzed defect logs, applied root cause analysis, delivered quality reports, and standardized test cases to improve data validation and release traceability.
