@SanjayRam
journey to mastering ML — one production-grade project at a time.
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Jun 14, 2025 · 3 min read · excerpt: "Learn how to build a complete fraud detection pipeline using Python, XGBoost, joblib, Streamlit, and MLOps principles. From data preprocessing to real-time dashboards—this guide walks you through it all."tags: machine-learning streamlit ...
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Jun 1, 2025 · 3 min read · Project Overview In this blog, we walk through a real-world, FAANG-level exploratory data analysis (EDA) project using 12 months of e-commerce sales data from 2019. The dataset includes transaction details such as product, price, date, quantity, and ...
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May 22, 2025 · 3 min read · Predicting customer churn with machine learning isn’t just a portfolio project — it’s a business-critical use case. In this post, I’ll walk you through how I built a production-grade, end-to-end churn prediction system using Cat-Boost, Stream-lit, Do...
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