Summary
Cassy Deplace is a Data Scientist with 12 years of professional experience and over four years focused on applied machine learning and document understanding at Capgemini. She builds and deploys practical ML solutions—ranging from OpenCV/Tesseract form extraction and AWS Textract/Comprehend pipelines to deep-learning CV matching and career-path prediction models—bringing projects from prototype to CDK-driven production. Previously she developed anomaly-detection models for radar time series at Thales using autoencoders, one-class SVM and isolation forests, combining signal processing and production deployment. Her interdisciplinary academic background in cognitive science, mathematics/informatics and a master’s in computer science informs a pragmatic approach to feature engineering and human-centered model design. Comfortable across Python, HDFS, AWS and Matlab, she pairs hands-on implementation with operational awareness in government and defense contexts. A former lab animal technician, she also brings meticulous observational skills and operational discipline to complex data pipelines.
12 years of coding experience
1 year of employment as a software developer
Master informatique parcours Androide, Informatique, Mention bien, Master informatique parcours Androide, Informatique, Mention bien at Sorbonne Université
Licence, Sciences cognitives, Mention assez bien, Licence, Sciences cognitives, Mention assez bien at Université Lumière Lyon 2
English, Spanish