Erwan Rezzoug

Currently a student in the Master's program in Big Data, I am passionate about using AI models to explore and solve complex problems through the analysis of large datasets.

I aspire to contribute to the development of innovative solutions. My background combines project management skills, the implementation of measurement systems, and result analysis, along with growing expertise in big data, making me a versatile professional ready to tackle multidisciplinary challenges.

I have extensive professional experience at TE Connectivity in Pontoise, France, where I served as a Laboratory Engineer from October 2021 to June 2023, managing the Laboratory Information Management System (LIMS), analyzing and processing product validation data, and conducting measurement system analysis. As a Quality Engineer Apprentice from January 2020 to September 2020, I collaborated on the international deployment of ISO 17025 and supported the Engineering team with the implementation of a new LIMS across EMEA. My earlier roles as a Laboratory Technician involved conducting research on the durability of wood adhesives and performing various electrical and mechanical measurements, statistical analyses, and test preparations during internships in 2019 and 2021.

Additionally, at the University of Auckland, I led a research project and analyzed test results during a three-month internship in 2019.

I am currently pursuing a Specialized Master's in Big Data at Telecom Paris, Institut Polytechnique de Paris (2023 - 2024). My coursework includes Machine Learning, Neural Networks, Statistics, Big Data Analysis, SQL, NoSQL, Hadoop, Distributed Systems, and Ethics in AI. I am also engaged in a capstone project with Chanel, where I analyze social media data using AI to evaluate and visualize emotional polarity, measure the influence of publications, and implement a model for automatic data labeling.

The project's objectives are trend detection, conversation analysis, sentiment analysis, and improving customer discourse understanding.