Hire the Best Data Scientists
in France

Most teams don’t have a tooling problem. They have a manual work problem. They’ve bought the CRM, signed up for the help desk, added the workflow tool, and the team is still copying data between tabs, answering the same five questions, and taking calls that shouldn’t be wasting employees' time in the first place. You’re not alone. Most teams I work with are already using automation somewhere. Some have a working setup or two. Some have a chatbot that seem to work at first. But nearly all of them still feel like there’s a layer of manual work nobody has gotten around to fix yet, and can’t tell whether the answer is one more tool, a custom build, or rethinking the process entirely. That’s where I come in. I don’t just build automations. I figure out where the manual work is actually coming from and build the system that removes it. For 7+ years, I’ve shipped automations in production, intelligent agents, and voice systems for teams that need their tools to work day after day, not just in the demo. A few recent outcomes: - 2 hours response waiting time saved per case on customer support, through a single agent - 60% less manual time on reporting, data prep, and internal ops - 35% faster document screening with 75% fewer false positives - 15+ hours saved per week, per team, by replacing weekly reports with live dashboards How I work: Understanding the problem before scoping it. Scoping it before writing code. Frequent check-ins with live updates, not just slides. Performance monitoring and documentation on every build. If a simple fix solves it, that’s what you get. If you need real architecture, I’ll tell you straight and build that instead. Honest answers on what’s worth building, even when “don’t build it” is the right answer. I take on a limited number of clients at a time so each one of you gets proper attention and strategy based on what your business actually needs. If you’ve got a process eating your team’s hours, a support load that needs an intelligent first line, or a phone workflow you want to automate, send me a message with what’s slowing things down and what good looks like. I’ll come back within 24 hours with an honest read on whether I’m the right fit. Tech stack Automation: n8n, Make, Zapier, GoHighLevel, Airtable, Python, REST APIs, webhooks AI agents & Chatbot: OpenAI, Claude, Gemini, LangChain, RAG pipelines, Pinecone, ManyChat Voice Agents: Vapi, Retell, ElevenLabs, Twilio, Whisper, Deepgram Data & backend: SQL, PostgreSQL, FastAPI, Node.js

I design and deploy production-grade AI systems: from data pipelines to scalable LLM applications. With 7+ years in ML/AI, I specialize in LLM systems, RAG architectures, and MLOps, helping teams move from prototype to reliable, scalable AI in production. My focus is not just building models but ensuring they perform under real-world constraints: latency, cost, hallucination control, and continuous improvement. What I build -End-to-end ML pipelines: ingestion, training, deployment, monitoring -RAG systems with proper evaluation harnesses (retrieval quality, regression catching) -LLM observability: prompt versioning, tracing, feedback loops -Scalable inference (real-time and batch) with GPU optimization -CI/CD for ML with MLflow, Airflow, automated retraining -AI agents with guardrails and reliable tool use Selected results -Fraud detection pipeline (real-time inference) → ~$890K in losses prevented -Forecasting system using ensemble models → 31% accuracy lift over baseline -Multiple LLM products running in production under client SLAs -$3M+ in measurable business impact across deployments (happy to walk through specifics on a call) Stack -Languages/frameworks: Python, FastAPI -LLMs: OpenAI, Anthropic, HuggingFace, LangChain, LlamaIndex -Vector DBs: Pinecone, Weaviate, ChromaDB, FAISS -Infra: AWS, Docker, Supabase, MLflow, Airflow How I work -Replies in 0–4 hours on business days -Production-grade code with tests and docs, not throwaway notebooks -Clear scope, direct communication, focused on business outcomes -Revenue, automation, speed-to-market — that's the scoreboard Let's turn your AI idea into a working product. Send an invite with your project details and I'll get back to you with a clear plan.

I am a seasoned Data Engineer with over 10 years of experience in designing and building scalable data solutions. I specialize in developing robust data pipelines across cloud platforms (AWS, GCP, Azure) and on-premise environments. Services Offered: ✅ Database Migration – Expertise in migrating databases such as BigQuery, Redshift, PostgreSQL, MySQL, and more. ✅ Data Warehouse Architecture – Designing efficient and scalable data warehouses tailored to business needs. ✅ ETL/ELT Development – Building ETL/ELT pipelines using Python Airbyte, DBT. ✅ Data Pipeline Architecture & Deployment – Implementing and automating workflows with Apache Airflow and Kubernetes. ✅ Application Containerization – Deploying and managing applications using Docker and Kubernetes. ✅ Data Visualization & Reporting – Creating interactive dashboards and reports with Looker Studio to drive business insights. Let’s discuss how I can help optimize your data infrastructure and unlock valuable insights for your business. Feel free to reach out!

I am a software engineer and data science enthusiast. I have experience in building websites or mobile apps for small and medium-sized businesses. I am also familiar with Deep Learning, Machine Learning and Big Data Mining. I also worked on IOT projects and have a minor knowledge of Business Intelligence. I'm experienced in HTML, CSS, CSS3, ReactJS, Bootstrap, JavaScript, JQuery, PHP and NodeJs. I'm also an expert at Kotlin (android) and Flutter. I master C, C++, Python, Pytorch, Tensorflow, R, Java, AspectJ, SQL, Oracle, and Multi-thread programming. For further details, let's keep in touch!

Graduate from a top-rated school in Paris in Data Science with a research background in physics. More than 3 years of experience as a data analyst and R shiny developer in different areas (Healthcare, Energy Start-up, Decathlon E-commerce, …). Today, my missions as a freelancer are to automate data analysis, data science & machine learning models through dashboarding with R Shiny. I also help my clients by avoiding the repetitive tasks that take up their time every day (Automatic report generation with R Markdown, …). In parallel, I work on part-time contract as a data analyst & R shiny Developer for Decathlon Belgium. As a data visualization expert, I have a good mastery of highcharts, one of the best charting libraries on JS. I have also mastery of some BI tools, mainly Tableau and Google Data Studio. I am available to discuss your needs. ''' You want to see more about my latest built shiny apps? Please copy/paste in your navbar my portfolio link: ahmedjou.datarmy.com ''''

I'm Mounaim, a data scientist and AI expert with over four years' experience, as well as a full stack developer. GitHub: bmounim I develop end-to-end data science and artificial intelligence tools using Python, and deploy them using Docker, FastAPI, React and Next.js . My strengths are clean coding, rapid learning and problem solving. I have honed these skills through my recent freelance experience, as well as my personal and professional experience. I am fluent in: - Python - Generative AI - Prompt engineering - Fine tuning - FastAPI - Next.js - Dockerisation As as well as other programming languages. I can implement machine learning and general programming in a systematic way. I can also build and deploy artificial intelligence tools on web, desktop or other types of applications. Fun fact: my best typing speed is 124 wpm. I speak English, French and Arabic, and I am always open to good communication. I look forward to building good relationships with my customers.