À propos de Olivier
Data Expert with a Business Edge — Analysis, Science & Engineering
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Expériences
- eco.mioData & AI EngineerTRANSPORTSseptembre 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 Science FreelanceData ScientistHIGH TECHmai 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
- Le WagonTeacher - Data Science / Machine LearningEDUCATION & E-LEARNINGmai 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
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Formations
- Data Science / Intelligence ArtificielleLe Wagon2022● 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 ConsultancyEDHEC Business School2016
Certifications
- Développeur in Intelligence ArtificielleLe Wagon2022
- Complete Python DeveloperUdemy2020