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Chakresh

Developer • 9h

🚀 The #1 Productivity Killer for Junior & Mid-Level Data Scientists in India (and everywhere) Hey Medial fam 👋 If you’re a data scientist with 0–7 years exp, you already know this pain: 80% of your week disappears in data wrangling, chasing stakeholders, fixing “almost-right” code, and fighting imposter syndrome. Real problems I keep hearing (and lived myself): 💥 Messy data from 10+ sources + constant schema changes 💥 Stakeholders say “just improve retention” with zero context 💥 No senior to review your work → solo debugging hell 💥 Tool overload + “should I learn this new LLM framework?” every week 💥 Explaining complex models to non-tech founders/execs 💥 Proving ROI while competing in a brutal job market Sound familiar? That’s exactly why I’m building DataSage AI — Your always-on AI Data Science Team. A suite of specialized agents that live inside your Jupyter/VS Code/Slack: ✅ Wrangler Agent — Auto cleans, profiles, merges, detects drift & writes production-ready Pandas/Polars code ✅ Domain Mentor Agent — Turns vague business asks into clear DS experiments + industry benchmarks ✅ Code + MLOps Agent — Debugs, adds tests, converts notebooks to FastAPI/Docker, sets up monitoring ✅ Storyteller Agent — Builds executive slides & one-line insights in seconds ✅ Orchestrator — Remembers your entire project context and coordinates everything Result? From “80% cleaning, 5% modeling” → “20% cleaning, 60% high-impact work”. Pricing that makes sense: Pricing that makes sense (~$49) or flexible token-based plan (unlimited light usage + pay only for heavy compute). Already saves 10–20 hours/month for early testers. ROI in the first week. Fellow data scientists, analysts, and founders building in India — does this resonate with your daily grind? Would you pay ₹4k/month for something that feels like having 3 senior DS teammates 24×7? Drop your biggest pain point in the comments 👇 Or DM me if you want early access / feedback call. Building in public. Honest feedback only 🔥 #DataScience #AI #DataScientists #IndianStartups #BuildInPublic #MLOps #GenAI #StartupIndia

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