The latest articles on DEV Community by Farouk Boukil (@f4roukb). https://dev.to/f4roukb https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3995440%2F3cf13485-dbcf-470b-a39b-f2bd3c282799.png https://dev.to/f4roukb en Farouk Boukil Sun, 21 Jun 2026 15:26:32 +0000 https://dev.to/f4roukb/-55n5 https://dev.to/f4roukb/-55n5 <p>We all know the grind of working with data, even with AI tools: every experiment starts with re-explaining everything, every iteration needs you to prompt, wait, review, correct, and repeat. And the moment you close the session, everything learned is gone.</p> <p>It makes us the bottleneck, and this hinders human-AI collaboration...</p> <p>So I built 𝐎𝐩𝐞𝐧𝐃𝐚𝐭𝐚𝐒𝐜𝐢, an autonomous agent purpose-built for DS/ML, and tested it on Kaggle. I enrolled in a recent competition, ran the agent with no hints, no guidance, while ironing my shirts.</p> <p>In one shot, it landed AUC 0.95, a top-30% finish out of 3K+ teams and 36K+ submissions using hashtag#Anthropic's Claude Sonnet 4.6. (More on this in README)</p> <p>The top-1 outperformed this agent by merely 0.004, but at the cost of massive manual effort even while using popular AI tools. The needed a dozen model families, deep learning, 400-feature notebooks, AutoML sweeps across many libraries, and 186 models ensembled carefully. Essentially a few weeks worth of effort and time!!</p> <p>OpenDataSci abstracts away all the complexity and has so much to offer for DS/ML automation:</p> <p>→ Owns the entire development lifecycle from EDA to final evaluation<br> → Plans, codes, and executes autonomously in a secure local sandbox<br> → Self-reviews and corrects before anything reaches you<br> → Remembers your data across sessions, gets smarter each run<br> → Runs parallel experiments and ensembles<br> → Has advanced context management for token efficiency and quality<br> → Ships with predefined skills for DS/ML, so it knows how to do things right<br> → Bring your own knowledge: out-of-the-box support for custom skills<br> → Works with any major LLM provider (hashtag#Anthropic, hashtag#OpenAI, hashtag#Bedrock, hashtag#VertexAI, hashtag#Ollama, hashtag#vLLM, and any OpenAI-compatible server). </p> <p>This and so much more!! You set the goal. It does the work. No data science knowledge required.</p> <p>🔗 <a href="https://github.com/f4roukb/open-data-sci" rel="noopener noreferrer">https://github.com/f4roukb/open-data-sci</a><br> 📦 pip install open-data-sci </p> <p>Spin it up on your data and see what it achieves!</p> ai datascience machinelearning opensource