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shravyaamarnath/README.md

Hi there, I'm Shravya 👋

Learning by doing — shipping LLM-powered apps and AI agents here. Expect experiments, prototypes, and functional builds that bridge the gap to production.

I also write Decoded: How AI Products Actually Work where I break down real-world AI features step-by-step—explaining ML concepts in plain English. No hype. No jargon. Just the "how" and "why" behind the AI products we use every day.

🧪 Experiments

  • Churn Prediction Model: An end-to-end churn analysis pipeline to transform raw behavioral data into a prioritized list of retention opportunities for product teams.

🛠️ Prototypes

✍️ Decoded: AI Product Deep Dives

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  1. visa-slot-monitor visa-slot-monitor Public

    Automatically monitors H1B visa slot availability on checkvisaslots.com and visagrader.com every 5 minutes and sends instant Telegram alerts when slots open — powered by Playwright + GitHub Actions…

    Python

  2. ml-churn-prediction ml-churn-prediction Public

    End-to-end churn prediction system built from a PM's perspective - business problem framing, metric selection, and ML modeling using a real behavioral dataset

    Jupyter Notebook

  3. Meditation-App Meditation-App Public

    Meditation App

    TypeScript

  4. AI-Project-Showcase AI-Project-Showcase Public

    TypeScript