
AI-Powered Sales Analytics Dashboard | Python, Streamlit, Pandas, Plotly | May 2026
Process: Developed an interactive sales analytics dashboard using Streamlit, Pandas, and Plotly to analyze sales data, implement dynamic filters, create visualizations, and generate automated business insights.
Outcome: Enabled real-time exploration of sales performance, identified key trends and patterns, and provided data-driven insights through an intuitive and user-friendly dashboard.
Customer Churn Analysis & Prediction | SQL Server, Power BI, Python | Jan 2026
Process: Cleaned and transformed customer data using SQL Server and Power BI, performed churn analysis, and built a Random Forest model to predict customer churn.
Output: Developed interactive dashboards and identified high-risk customers, enabling data-driven customer retention strategies.