Technical Blog

Explore how combining IoT sensor data with hybrid machine learning approaches creates a more robust, adaptive fraud detection system. Learn about real-time anomaly detection, feature engineering, and achieving 94% precision in production.

Lessons learned from 10 years as a Python engineer transitioning to data science. Discover which skills transfer, what you still need to learn, and how to leverage your engineering background as a superpower in the data science field.

A practical guide to building production-ready churn prediction systems that identify at-risk customers before they leave. Learn feature engineering, model deployment, and how to turn analytics into action with measurable business impact.