Freelancer profile translated to English.
Back to original languageAbout Corentin
With a solid background in the financial sector and a Master's degree in Data Science, I leverage my passion for complex data analysis to achieve concrete results. Specializing in statistical analysis and machine learning, I transform your data into true performance drivers.
Capable of interpreting your data and extracting high-value insights, feel free to consult my profile (LinkedIn, GitHub) as well as my various projects:
- Financial strategies for sports betting (NHL, NBA & MLB)
- Advanced NBA statistics and fantasy score predictions
- Climate projections in France for 2035, 2040, 2045, and 2050
Contact me for more information.
French
Native or bilingual
English
Fluent
Can work on-site
Bordeaux (up to 50km)
Experience
- je suis indépendantUS Sports betting managementOctober 2024 - Today (1 year and 10 months)Bordeaux, FranceExploiting official APIs (NBA, NHL, and MLB), feature engineering, modeling, and predicting individual sports performances.Profitable strategies:🏒 NHL 2025/26 → +13.55%⚾ MLB 2025 → +7.43%🏀 NBA 2025/26 → +4.77%Python, SQL, Pandas, API requests, Scikit-learn, Cross-validation, optimization (Optuna / Gridsearch CV), back testing.
- Quadratic LabsDATA SCIENTIST CONSULTANTENERGY AND UTILITIESFebruary 2024 - September 2024 (7 months)Paris, FranceConsulting for major players in the energy sector.ALPIQ: Analysis, quantification, and prediction of customer churn risk | R, Logistic Regression.ENI: Support for Finance and Management Control teams in consumption predictions and billing | R, Shiny, CI/CD, JIRA, Bitbucket.ENGIE: Support for Trading teams in energy consumption forecasts | Python, Databricks, AWS
- Partech PartnersSENIOR FINANCIAL CONTROLLER – PRIVATE EQUITYApril 2022 - September 2022 (5 months)Paris, FranceMonitoring, valuation, and validation of investments in startups (Seed stage). Regulatory reporting | KPIs | Capital calls and distributions | Data analysis
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Education
- Master Data ScientistOpenClassrooms x Centrale Supélec2023Master en Data Science (RNCP niv. 7). Data visualisation, feature engineering, modélisation supervisée et non supervisée, Cloud computing, scoring, dashboarding. Python | SQL | Pandas | Matplotlib | PySpark | AWS | Streamlit
- Master in Banking, Finance, and International TradeUniversité Montesquieu Bordeaux IV2014
Certifications
- Retrieval Augmented Generation (RAG)Deeplearning.AI2026
- Databases and SQL for Data Science with PythonIBM2026