Case Study
Predicting Customer Churn Before It Happens
How I built an AI-powered dashboard using XGBoost, SHAP explainability, and OpenAI to predict at-risk customers and generate personalized retention strategies...
Data Story
Short takes on how I translate messy data into narratives and actions.
Each story here is a deep-dive into real data problems I've tackled—from machine learning models that predict customer behavior to visualizations that turn chaos into clarity. Pick a category or explore them all.
Engineered a self-optimizing machine learning pipeline that eliminates manual intervention while delivering production-grade models.
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Case Study
How I built an AI-powered dashboard using XGBoost, SHAP explainability, and OpenAI to predict at-risk customers and generate personalized retention strategies...
Case Study
Blending live parking feeds, weather, Prophet, and XGBoost to predict where the next free spots will open in the city...
Experiment
Building a CNN with TensorFlow to classify candlestick chart images and predict stock price movements—an experiment in visual finance...
ML Case Study
Building SVM and Decision Tree models in R to classify mobile phones into price ranges based on 21 technical specifications—with 96.8% accuracy...
A visual guide with interactive charts to help you choose the perfect visualization for your data—bar, line, pie, scatter, and more...
Using Dirichlet modeling, consumer panel data, and brand tracking surveys to diagnose why Jordan has high loyalty but low market reach...