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

Data Engineer @Quant... • 1y
Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien
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Hey I am on Medial • 4m
🚀 Looking to integrate AI voice agents into your business? 🚀 Check out this in-depth guide: “Top 10 Custom AI Voice Agent Development Companies in 2025” by MirrorFly — it helps you navigate the landscape and pick a partner that fits your needs. 💡
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Guys Please UPVOTR Starclouds Data Analyst, Data Scientists And Machine Learning Engineers We Need Your Help Go UPVOTE Starclouds In December Showcase If We Win Any Price Form December Startup Showcase I Will Provide You All Free Data Science Co
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Week 1 of building my PDF SaaS completed ✅ Multiple form management ✅ PDF cloud upload ✅ CRUD ops for Dynamic fields ✅ Multi-purpose field component ✅ Form data preview Next up: Canvas preview & field size and position config #SaaS #PDF #b2b #p
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A billion dollar dre... • 1y
🔮 No-Code AI Revolution: Multi-Agent Systems for Everyone! Multimodal LLM-based multi-agent systems are now accessible through no-code platforms. Game-changer alert! 🚀 Why it matters: - Non-technical teams can implement complex AI - Handle text,
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