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Olivier S.OS

Olivier S.

Data Expert - Python / Machine Learning

700 €/jour
4 projets
Marseille, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Olivier

Data Expert with a Business Edge — Analysis, Science & Engineering

I'm a data professional with 4+ years of technical experience across the full data stack, backed by 6+ years in strategy consulting.
I don't just build models and pipelines — I understand the business problems behind them, which means faster alignment and results that actually move the needle.

What I can help you with:
🔍 Data Analysis — from EDA and statistical modeling to KPIs and dashboards
🤖 Data Science & ML — predictive models, time series, clustering, NLP, ..., and LLM-powered applications (RAG pipelines, AI agents) built to be production-ready
⚙️ Data Engineering — ETL/ELT pipelines, cloud warehouses (BigQuery, Redshift, Snowflake), and data infrastructure at scale

Tools:
General: Python · Pandas · SQL
Dashboarding: PowerBI · Tableau · Looker
Machine/Deep Learning: Scikit-learn · TensorFlow
Data Engineering: dbt · pySpark · Airflow · AWS · GCP · Docker
GenAI: LangChain

✅ Full-stack data expertise — analysis, science, and engineering in one profile
✅ Business-first mindset built from 6 years of strategy consulting
✅ Proven delivery across startups, large enterprises, and public sector organizations
✅ Clear, proactive communication — no jargon, no surprises
✅ Available for both focused short-term projects and longer engagements

Tell me about your project — let's figure out exactly how I can help.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Marseille (jusqu’à 50 km)

Expériences

  • eco.mio
    Data & AI Engineer
    TRANSPORTS
    septembre 2023 - janvier 2026 (2 ans et 4 mois)
    Berlin, Allemagne
    • Architected and implemented comprehensive data platform on AWS including Redshift warehouse infrastructure, ETL pipelines (Lambda, Glue, PySpark), and orchestration workflows (Step Functions, EventBridge) processing 200k rec. / day
    • Developed complex data transformation pipeline for API integration with major international investment bank, enabling comprehensive business travel reporting, statistical analysis, and trend tracking across their organization
    • Developed monitoring and analytics platform featuring automated dashboards and alert systems that reduced product failure detection time to by 90%, serving daily dashboards to customers and product analytics to the Product Manager
    • Built LLM-powered lead intelligence system that automated news gathering and lead qualification with RAG, improving timely lead outreach by 20% and reducing manual research time for Sales
    • Created AI agent-based monitoring solution to track Travel Booking System changes and automatically notify development teams of required updates, reducing downtime by 80%
    • Conducted advanced analytics projects including € and CO2 savings potential modeling, customer impact analyses, market sizing studies enhanced with scraping and LLM enrichment, and CO2 emission models using regression analysis
    Data Engineer Amazon Web Services Airflow SQL Pandas
  • Data Science Freelance
    Data Scientist
    HIGH TECH
    mai 2022 - Aujourd'hui (4 ans et 1 mois)
    Marseille, France
    • Engineered a modular poker solver output analysis pipeline to process solver results into user-friendly Excel reports, generating 15+ categorical features (connectivity, suit patterns, pairing) and computing aggregations across flop combinations to infer actionable heuristics for a professional poker player
    • Delivered end-to-end machine learning solutions including a horse race prediction model with advanced feature engineering, PCA dimensionality reduction, and deep learning implementation using TensorFlow/Keras
    • Led data project for water utility consulting firm, identifying 120,000 problematic meters across distribution network through analysis of meter data patterns and metadata, and field intervention records to optimize replacement strategy
    Machine learning Scikit-learn TensorFlow Deep Learning
  • Le Wagon
    Teacher - Data Science / Machine Learning
    EDUCATION & E-LEARNING
    mai 2022 - Aujourd'hui (4 ans et 1 mois)
    Marseille, France
    • Taught data science curriculum at Le Wagon bootcamp covering statistics, probability, linear algebra, and machine learning to cohorts of 15 students, maintaining high engagement and learning outcomes
    • Conducted corporate training programs for National Association of Chartered Accountants, delivering hands-on instruction in SQL, API integration, Power BI dashboard development, and workflow automation tools
    SQL Analyse de données Data visualisation Business intelligence Machine learning

Avis

5,0

sur 2 évaluations

K

Kouadja

christal-is

Avis laissé le 08/12/2022

travailler avec Olivier est très agréable car il sait vulgariser cette science autour de l'IA, et ce quelque soit le niveau de son interlocuteur. il appréhende très bien le besoin et sait orienter vers des pistes exploitables. Je lui ai confié plusieurs missions et toujours très satisfait tant sur la qualité des livrables que sur le respect des délais.
K

Kouadja

christal-is

Avis laissé le 13/07/2022

Olivier est une personne sérieuse, qui est à l'écoute du besoin et est force de proposition. Je retravaillerais volontiers avec lui

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Formations

  • Data Science / Intelligence Artificielle
    Le Wagon
    2022
    ● Data Sourcing: API, Web Scraping, SQL, BigQuery ● Data Analysis & Decision Science: Pandas, Numpy, Matplotlib, Plotly and Seaborn (on Jupyter Notebook, JupyterLab, Google Colab and IDE + Terminal) ● Machine Learning with Scikit-learn: - Supervised ML: Linear Models, Logistic Regression, Support Vector Machines, Stochastic Gradient Descent, Nearest Neighbours, Naive Bayes, Decision Trees, Random Forest, XGBoost - Unsupervised ML: K-Means, PCA (Principal Component Analysis) - Model Selection, Cross-Validation, Hyper parameter tuning, Scoring ● Deep Learning with TensorFlow-Keras: - Image Recognition with CNN (Convolutional Neural Network) - Natural Language Processing with RNN (Recurrent Neural Networks) - Time Series forecasting with RNN and CNN ● Data Engineering & Cloud Computing with GCP (Google Cloud Platform), MLFlow, Heroku, Streamlit
  • Master of Science, Strategy & Organisation Consultancy
    EDHEC Business School
    2016

Certifications

  • Développeur in Intelligence Artificielle
    Le Wagon
    2022
    Matplotlib CNN Heroku GitHub Scikit-learn Numpy Deep Learning MLOps NLP RNN Streamlit Pandas Machine learning Seaborn TensorFlow
  • Complete Python Developer
    Udemy
    2020
    API REST GitHub Pandas MySQL Scikit-learn Web Scraping Python SQL

Compétences

Catégories