Machine Learning
Predicting Customer Churn Before It Happens
How I built an AI-powered dashboard using PyCaret AutoML, XGBoost, SHAP explainability, and OpenAI to predict at-risk customers.
Case Studies & Tech Stories
In-depth breakdown of how I solve technical challenges and architect production software.
Each case study dives into real engineering challenges—from generative AI pipelines to cybersecurity and mobile development.
Engineered a desktop application that completely automates multi-language video translation, subtitle synchronization, ElevenLabs voice cloning, and high-performance FFmpeg video rendering.
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Machine Learning
How I built an AI-powered dashboard using PyCaret AutoML, XGBoost, SHAP explainability, and OpenAI to predict at-risk customers.
Forecasting
Blending live parking feeds, weather, Prophet, and XGBoost to predict where free spots will open in the city.
Deep Learning
Building a CNN with TensorFlow to classify candlestick chart images and predict stock price movements.
Classification
Building SVM and Decision Tree models in R to classify mobile phones into price ranges with 96.8% accuracy.
Visualization
A visual guide with interactive charts to help you choose the perfect visualization for your data.
Brand Analytics
Using Dirichlet modeling, consumer panel data, and brand tracking surveys to diagnose loyalty and market reach.