Ever wondered which ads actually work? In this project, I dove into global customer data to figure out what people are buying, when they’re buying it, and what kind of marketing gets them to act. I used SQL, Python, and Tableau to clean messy data, spot patterns, and build interactive dashboards that help businesses make smarter, faster decisions.

Skills Demonstrated:
SQL · Python (Pandas) · Excel · Tableau · Data Cleaning · Customer Segmentation · Campaign Analysis · Sales Forecasting · Dashboard Design

What keeps customers coming back — and what makes them leave? This project dug deep into the psychology of purchase behavior using advanced analytics, clustering, and sentiment analysis. By merging spending data with raw customer feedback, I built a loyalty intelligence engine that doesn’t just report churn — it predicts it. From K-Means segmentation to NLP-powered insights, every model and dashboard served one goal: sharper strategy, smarter engagement, and higher retention.

Skills Demonstrated:
Python (Pandas, Matplotlib) · R (dplyr, ggplot2) · Scikit-learn · NLP · Customer Segmentation (K-Means) · Sentiment Analysis · Regression Modelling · Predictive Forecasting · Data Cleaning & Feature Engineering · Loyalty Program Strategy

Behind every missed appointment or long wait time is a deeper story — and this project set out to tell it. Using Python, NLP, and a bit of data intuition, I transformed dense NHS scheduling data and live public sentiment into sharp, actionable insight. Think time-series meets Twitter — all to spotlight when, where, and why healthcare delivery breaks down. The result? A data-driven push toward smarter staffing, smoother scheduling, and policies that actually serve the people.

Skills Demonstrated:
Python (Pandas, Seaborn, Matplotlib) · Natural Language Processing (NLP with NLTK) · Sentiment & Thematic Analysis · Temporal & Geospatial Analytics · Data Cleaning Pipelines · Visual Storytelling · Public Health Strategy · Algorithmic Thinking · Stakeholder Insight Extraction