Business Intelligence portfolio showcasing Power BI & Tableau dashboards, SQL & Python analysis, data modeling, and advanced analytics (cohort, funnel, segmentation) to drive revenue and business decisions.

Python CLI tool that automates Earthworks specification from lab data (Dry Density, CBR, Su, MCV). Generates validated plots and PDF reports for data-driven geotechnical design.

This interactive dashboard assesses supplier risk by integrating performance metrics (on-time delivery, quality scores) with a real-time geopolitical risk score derived from NLP-based news sentiment analysis. The goal is to provide supply chain managers with a proactive tool to mitigate disruptions.

A Python script to analyze sales performance using Pandas and Matplotlib. Loads, cleans, and visualizes sales data, calculating key metrics (total sales, average order value, unique customers) and generating trends (monthly sales, product category performance). Includes error handling for robust execution.

A data-driven approach to designing an optimal Data Science curriculum. This project extracts skills from job postings, applies NLP and clustering techniques (K-Means, Hierarchical, DBSCAN), and maps industry demands to educational recommendations. Uses Python, Scikit-learn, OpenAI embeddings, and Seaborn for visualization.