Said Bouzegarn

Hello,

I am a data scientist & MLops engineer with 5 years of experience in the field, with a recent focus on innovative generative artificial intelligence solutions. I have a solid background and excellent references that attest to my expertise in data science and data engineering, particularly in text, image, and time series data processing.

My engineering education from Centrale, specializing in data, combined with my professional experiences, notably as Lead Data Scientist & Engineer at Mangrove, Enedis, SwissLife, etc., have allowed me to develop advanced skills on AWS, GCP, and Azure platforms to process large volumes of data at a lower cost. I have also obtained several AWS certifications, consolidating my expertise in managing and deploying cloud infrastructures.

I am passionate about generating useful information from data, whether through mining, analysis, or visualization. With my focus on generative AI, I am capable of creating solutions that were previously impossible or very difficult to implement, whether for automating complex processes or generating insights from unstructured data.

I am proficient in the development and evaluation of models adapted to various needs: clustering, prediction, anomaly detection, classification, object detection, segmentation, etc. My skills also cover the management of common issues such as imbalanced data, massive volumes, anonymization, security, model interpretability, as well as optimizing model training and operational costs.

In addition to my data science and machine learning skills, I am also capable of building robust data pipelines, dashboards, and web interfaces thanks to my mastery of AWS services.

I am available for assignments in Paris/Lille or remotely.