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This internship allowed me to carry out my final year project in real conditions with real-world issues. The aim of this project was to detect, extract, structure, and translate analytical parameters into master data for the digitization and standardization of Standard Operating Procedures with a view to integrating them into a LIMS. I used technologies related to machine learning (clustering, etc.), natural language processing (POS tagging, Dependency Parsing, etc.) as well as language models such as BERT and SBERT.
Worked part-time providing technical support and assistance.
This internship allowed me to work independently while studying the company's needs and creating a customized solution based on those needs. This solution enables the monitoring of slat production for Airbus A320/A330/A350/A380 contracts.
Worked part-time assisting in administrative tasks.
Master's degree in Industrial Computer Engineering with a focus on AI and Big Data.
Bachelor's degree in Industrial Computer Engineering.