Engineering graduate from IMT Atlantique specializing in data science and business intelligence, I have developed strong expertise in data analysis, data science, and data engineering tools to optimize data usage within companies. My experience includes anomaly detection, process automation, client segmentation, and the creation of dynamic dashboards. Proficient in machine learning and statistical tools (Python, R, Power BI), I enable data-driven decision-making. Certified in AWS and Microsoft Fabric, I am committed to innovation in data.
Data Science: Statistical Analysis, BI, Data Mining, Machine Learning, Big Data (NoSQL, Spark, HDFS), Deep Learning.
Cloud & Data Platforms : Microsoft Azure, Databricks, AWS, Terraform
Data Engineering & Processing : PySpark, SQL, Python (Pandas, Numpy, Scikit-learn), ETL pipelines
Business Intelligence & Analytics : Power BI (Power Query, DAX, RLS/OLS, ALM Toolkit), CRM Analytics
Data Science & Machine Learning : Feature engineering, Scikit Learn, SHAP, CRISP-DM methodology, Data quality analysis (accuracy, completeness, consistency)
Other Tools & Practices : Git (GitHub, GitLab), Agile / Scrum
AWS Certified Developer - Associate
Sea fishing, Chess, Video games
My Github projects :
Microsoft Fabric Data Engineer Associate (DP-700)
AWS Certified Developer - Associate