
Data and Business Analyst with expertise in Python, SQL, Power BI, and AI-driven automation. Proven ability to develop predictive models and automate reporting workflows, resulting in enhanced business insights. Experienced in financial analysis, government operations, and KPI dashboard creation. Strong communication skills contribute to improved decision-making through data analytics.
Customer Churn Prediction (Python, scikit-learn):
• Cleaned and engineered features for a 5,000‑row dataset and trained a logistic regression model achieving 78% accuracy.
• Identified key churn drivers and created retention strategy recommendations.
• Built an interactive Power BI dashboard for scenario analysis.
AI Reporting Automation Assistant (ChatGPT API + Google Sheets):
• Automated monthly KPI reporting, saving 10+ hours per month.
• Built natural‑language query interface for managers to generate insights on demand.
Power BI Sales Insights Dashboard:
• Designed a multi‑page executive dashboard with DAX measures for revenue, segmentation, and product performance.
• Improved visibility into financial and operational KPIs across teams.