DGXC

• Developped AI models for real-time analysis of surgical videos. Leveraged Computer Vision models such as Dynamic Convolutional Neural Networks (CNNs) or Image Segmentation models such as Detectron2/SAM.

• Built robust end-to-end data pipelines for ML models automation on thousands of hours of footage.

Research NLP internship focusing on non-labeled data.

• Scraped (via Python: Selenium, BeautifulSoup and APIs) and used more than 10,000 working agreements from French government website. On the one hand, used those to understand the impact of a 2018 French reform on equality-at-work, and on the other hand to understand the impact of lockdown on the generalization of teleworking.

• Worked with Datamatics for the labelling process, then employed supervised Machine Learning algorithms for exploiting the labelled data.

• Also considered several other approaches such as NER (Named-entity recognition), Semi-Supervised learning, keyword searching, etc.

• Exploited and analyzed more than 1 million SEO data.

• Created a Google Datastudio dashboard displaying interactive statistics for SEO clients.