Patrick Stéphane Tawil

Patrick Stéphane Tawil has a diverse work experience in the field of data science and analysis. In 2018, they started their career at AXA as a Risk Analyst. From November 2018 to May 2019, they were responsible for analyzing risk data.

In 2020, Patrick joined Agence Atmosphères (Addikt Group) as a Data Analyst. During their tenure from March 2020 to February 2021, they established the Data Science department and developed standardized procedures for data extraction, wrangling, and storage. Patrick Stéphane also utilized time series analysis to predict sales targets and created interactive dashboards on Power BI for clients to visualize sales performance.

In 2021, Patrick moved to PAPREC as a Data Scientist. From February 2021 to August 2022, they focused on object detection by developing a Deep Neural Network based on the YOLO architecture. Patrick Stéphane'swork involved automatically detecting and classifying trash items through the drawing of boxes around them. Patrick Stéphane also enhanced the precision and robustness of the Neural Network by deploying an image collection software on the company's garbage trucks.

Currently, Patrick is employed at Rhyme as a Data Scientist, starting in June 2022. No end date is provided for this role.

Patrick Stéphane Tawil obtained a Bachelor's degree in Statistics from UCLA, where they were enrolled from 2014 to 2018.