Description

Data Scientist | Ex BNP Paribas, Ex Amazon, Ex GoPro

💼4 years+ experience in Deep Learning, NLP, Computer Vision, Machine Learning, Algorithms & Data Science (see below), AWS, GCP

👨‍🎓 CentraleSupelec MSc. in Machine Learning & Robotics

💻Production ready & result driven mindset

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Carrefour
Senior Data Scientist
RETAIL (LARGE RETAILERS)
June 2023 - Today (2 years and 11 months)
Paris, France
Fraud detection inside retail stores

● Implemented 𝐨𝐛𝐣𝐞𝐜𝐭 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 and 𝐭𝐫𝐚𝐜𝐤𝐢𝐧𝐠 of store items using Yolov8 and ByteTrack.
● Deployed solution for live cameras in public stores.
● Achieved 80%+ detection rate for fraud cases.
● Tools: 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐏𝐲𝐭𝐨𝐫𝐜𝐡, 𝐆𝐨𝐨𝐠𝐥𝐞 𝐂𝐥𝐨𝐮𝐝, 𝐃𝐨𝐜𝐤𝐞𝐫, 𝐒𝐐𝐋Fraud detection inside retail stores ●
Object Detection Deep Learning Pytorch yolo Tracking Machine learning Python Python (Programming Language)
BNP PARIBAS SA
Senior Data Scientist | NLP Research | Deep Learning
BANKING AND INSURANCE
April 2020 - June 2023 (3 years and 3 months)
Paris, France
Document AI Platform

● Designed, built, and deployed a production-ready library for information extraction using 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬 (LayoutLM, LayoutLMv3, ...).
● Automated data tagging, cleaning, processing, 𝐟𝐢𝐧𝐞-𝐭𝐮𝐧𝐢𝐧𝐠 & evaluation.
● Impact: 𝟒𝟎+ 𝐝𝐞𝐞𝐩 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧, 6 clients, 2M€ revenue, 5M datapoints.
● 𝐓𝐞𝐜𝐡 𝐥𝐞𝐚𝐝𝐞𝐫 in an agile team, with a strong focus on exploring new ML ideas.
● Research: Authored and co-authored 𝟒 𝐩𝐚𝐩𝐞𝐫𝐬 on Document Understanding tasks.
● Tools: 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐏𝐲𝐭𝐨𝐫𝐜𝐡, 🤗 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐞𝐫𝐬, 𝐍𝐋𝐏, 𝐃𝐨𝐜𝐤𝐞𝐫, 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬, 𝐌𝐋𝐅𝐥𝐨𝐰.

Miscellaneous

● Object Detection, Image Segmentation, Anti-Money Laundering, Transaction classification, NER.
Deep Learning Machine learning Pytorch Python (langage de programmation) Python 3 NLP Computer Vision
GoPro
Machine Learning Research | Computer Vision
ENTERTAINMENT AND LEISURE
February 2019 - August 2019 (6 months)
Issy-les-Moulineaux, France
Super Resolution (x4 Image Upscaling)

● Conducted 𝐒𝐎𝐓𝐀 𝐬𝐭𝐮𝐝𝐲 and paper reviews on Super Resolution.
● Implemented RAISR and researched for speed and performance optimizations.
● Stayed updated with the latest AI/ML developments through daily news reading.
● Tools: 𝐏𝐲𝐭𝐡𝐨𝐧, 𝐏𝐲𝐭𝐨𝐫𝐜𝐡, 𝐆𝐢𝐭, 𝐂𝐍𝐍, 𝐑𝐞𝐬𝐍𝐞𝐭.
Deep Learning Pytorch Python Computer Vision