Chris Essomba
Data Scientist @Ineris
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WORK HISTORY
Data Scientist @Ineris
Verneuil-en-Halatte, FR
Implementation of an LLM-based pipeline for the automated extraction of data from scientific documentation, reducing manual effort and ensuring completeness.• Development of algorithms to classify, analyze, and predict (eco)toxicity and environmental fate data (classification, regression, clustering, NLP).• Design and maintainance of interactive dashboards with Python to provide clear, actionable visual insights and support researchers in their data analysis.• Integration of multi-source data.• Validation of data integrity and error correction prior to analysis.
ABOUT CHRIS ESSOMBA
Final-year engineering student specializing in Big Data and AI, with over a year of hands-on experience in applied research. I\'ve contributed to the development of innovative tools that harness computer vision, machine learning, and AI to streamline researchers’ work in areas like video analysis and automated text extraction. Technical Skills: Python, SQL, LangChain, OpenCV, TensorFlow, MLflow, Docker Project Highlights: • Built a workflow powered by large language models (LLMs) to extract data from PDFs, reducing manual extraction time by 30%. • Designed a computer vision system to detect and track fish behavior in experimental videos, cutting video analysis time by 40%. • Created an application to classify chemicals by molecular structure, enabling researchers to quickly identify structural similarities. I get excited about opportunities where I\'m able to leverage big data to discovery insights and identify patterns that have real human impact.
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