Loïc LAFFINEUR
Junior Data Scientist & Data Analyst | Python · SQL · Power BI · GenAI | Open to CDI & Freelance
Salaire / Taux journalier
Paris, France
Mobilité : France
Freelance, ouvert au CDI
Peut venir sur site
Expertises
Langues
À propos
Introduction
Data Scientist & Data Analyst Junior — CDI & Freelance | Paris / Remote I turn raw data into business decisions: ML models, GenAI pipelines, BI dashboards, and automated reporting — from prototype to deployment. Experience : 1 year at CNAM on national healthcare fraud detection (SNDS data): +15% F1-Score · €500k+ in fraud identified · automated Python/SQL/SAS pipelines · operational dashboards for business teams. Recent Projects : → LLM Product Generator — RAG +3.2%, LoRA +1.4%, FastAPI + Streamlit → Churn Telco — XGBoost, SHAP, Streamlit app (recall 0.53 → 0.80) → CIFAR-10 Vision — Custom CNN ~87% acc. vs VGG19 Transfer Learning → RFM Segmentation — K-Means 5 clusters, actionable customer personas → Pizza Sales Dashboard — Power BI, DAX, automated KPIs Stack : Python · SQL · Scikit-learn · XGBoost · PyTorch · TensorFlow · SHAP LLM · RAG · LoRA · FastAPI · Streamlit · Power BI · DAX · BigQuery · Docker · Git Education : Master's in Statistics & Data Science — Sorbonne / ISUP (Statistician Diploma) TOEIC 940/990 Open to a Data Scientist / Data Analyst position in Île-de-France or remote. Also available for freelance missions — data analysis, ML, GenAI, dashboards. GitHub: github.com/LoicLaffineur Malt: malt.fr/profile/loiclaffineur
Expérience de travail
Data Projects & Skills Development — Freelance
Self-employedFreelance
mars 2024 - Présent
2 ans 8 mois
Vétheuil, France
Building and shipping end-to-end data projects while developing freelance activity. Portfolio — 5 projects on GitHub covering ML, Deep Learning, GenAI (RAG, LoRA, FastAPI), BI, and customer segmentation. Freelance mission — CPTS Libourne: ETL pipeline on a 5M+ row national health dataset (Python, Pandas), delivered structured regional outputs. Certifications: Power BI (Microsoft) · Advanced SQL (Kaggle) · PyTorch & TensorFlow (ZTM) · GenAI Fundamentals (Google) · Docker Available for freelance missions in Data Science, Data Analytics, and GenAI.
Data Scientist — Healthcare Fraud Detection
CNAM (French National Health Insurance)
sept. 2022 - août 2023
1 an
Paris, France
Detecting billing anomalies and fraud on large-scale national health data (SNDS). - Built and optimised fraud detection models — +15% F1-Score via feature engineering and model tuning - Identified 30+ anomalies representing €500k+ in estimated fraudulent reimbursements - Automated ML and reporting pipelines integrated into annual operational routines - Delivered decision-making dashboards and explainability reports (SHAP) for business teams - Collaborated across data, operations, and management teams Stack: Python · SQL · SAS · Scikit-learn · SHAP · Pandas · R
Formation
Sorbonne Université & ISUP
Master 2 (M2), Statistical Engineering & Data Science (ISDS) - Double Degree, Statistician Diploma (ISUP)
2022 - 2023
1 an
Key topics: Machine Learning, Deep Learning, Statistics, Generative AI, Databases, Time Series Forecasting, Latent Variable Models, Parallel Computing (CUDA) Thesis: Resampling techniques for highly imbalanced health data (4%) applied to fraud detection — Python, Scikit‑Learn, Pandas Note: completed as a work-study program (apprenticeship) with CNAM Technical coursework: C++, SQL, Neural Networks, Generative Models, Numerical Optimization, Stochastic Calculus
Sorbonne Université
Master 1 (M1), Mathematics & Applications
2021 - 2022
9 mois
Key topics: Mathematical foundations, Machine Learning, Statistics, Numerical Optimization, High‑dimensional Data Technical coursework: Numerical methods, Advanced statistics, Computational probability, C++
Université Évry Paris-Saclay
Bachelor's degree, Mathematics
2019 - 2022
3 ans 1 mois
Key topics: Pure mathematics, Algebra, Calculus, Statistics, C programming, Java
Licences et certifications
Data Analysis with Microsoft Power BI
Délivré le : oct. 2025
Advanced SQL with BigQuery
Délivré le : oct. 2025
Machine Learning Explainability
Délivré le : sept. 2025
Generative AI Fundamentals
Délivré le : mai 2025
Docker Fundamentals
Délivré le : mars 2025
PyTorch for Deep Learning Bootcamp
Délivré le : déc. 2024
TensorFlow for Deep Learning Bootcamp
Délivré le : nov. 2024
TOEIC - 940/990 (C1 Advanced)
Délivré le : janv. 2023