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4 ans d'experience

Competences

Python SQL Spark AWS Azure Machine Learning Statistical Modeling NLP Data Engineering MLOps Power BI Tableau Docker Git Airflow

Experience

Data Scientist

Window Nation

2025-03 -

Developed machine learning models in Python and SQL to forecast sales demand, boosting forecast accuracy by 24% and supporting strategic planning. Built Bayesian Media Mix Models and attribution frameworks, improving channel attribution accuracy by 30% and optimizing advertising spend. Designed scalable ELT pipelines with dbt, Airflow and Snowflake, cutting data processing time by 41% while enhancing reliability for analytics and reporting. Performed causal inference, cohort analysis and A/B testing to evaluate pricing initiatives, increasing campaign effectiveness by 18%. Created executive dashboards in Power BI and Tableau, reducing reporting turnaround by 47% and improving visibility for senior leadership.

Data Scientist, AI & Business Intelligence

Bright Mind Enrichment

2024-08 - 2025-03

Implemented semantic search solutions using transformer embeddings and vector databases, raising document retrieval accuracy by 35% and accelerating knowledge access. Built monitoring pipelines for ML models to track prediction quality, feature drift and performance, decreasing production failures by 28% through automated evaluation. Designed predictive analytics and anomaly detection models with Python and Scikit‑learn, improving risk identification accuracy by 20% for compliance monitoring. Conducted statistical validation, A/B testing and feature engineering to enhance NLP and forecasting models, delivering higher model performance.

Langues

English

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