Léo Cabart

Experienced Data Analyst with expertise in SQL, Python, Excel, and Power BI, specializing in optimizing decision-making processes through data-driven insights. My academic and professional background has provided me with a deep mastery of data analysis tools, which I use to transform data into actionable information and concrete solutions.

Currently a Data Analysis instructor at Le Wagon, I guide students in learning essential tools such as Python, SQL, BigQuery, DBT, and Power BI. My role includes organizing interactive workshops on data visualization and engineering, as well as providing personalized support to resolve technical issues encountered by students.

Previously, as a Data Analyst at HP, I automated the analysis and reporting of commercial performance, reducing processing time by 60%. I also created dashboards for monitoring inventory and quotes, contributing to a 40% reduction in stockouts among distributors. My experience has allowed me to collaborate with over 50 partners to improve sales and negotiation processes.

Passionate about data analysis and technological innovation, I am always seeking new opportunities to apply my skills and contribute to ambitious projects. My analytical mindset, rigor, and teamwork abilities enable me to adapt to various environments and effectively meet client needs.