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Cyril Carlin's work experience starts with their current role as a Data Scientist at Sewan Groupe, where they are involved in developing an anti-fraud system for detecting abnormal consumptions. This includes managing labeling and unequal classes, processing time series data using sktime and ARIMA, and studying neural networks such as LSTM, Transformers, and Autoencoders for analyzing time series data.

Prior to their current role, Cyril worked as a Freelance Web Developer & Data Scientist at crème de la crème, where they undertook various web development and data science projects to expand their knowledge and professional network.

Cyril also worked at Amadeus as a Software Development Engineer, where they were responsible for designing and developing real-time decision support applications. This included tasks like assigning passengers to aircraft seats, re-accommodating passengers after disruptions, and assigning fleet types to flights based on passenger demand.

Cyril also gained experience as a Data Scientist Intern at Amadeus, where they worked on building an automatic ticket solver for the maintenance team using machine learning techniques.

In addition, Cyril worked as a DataLab Analyst Intern at Leonard, a department of VINCI, and as a Project Manager Junior and Web Developer Intern at ACETIAM, where they focused on maintaining and improving ticketing websites.

Overall, Cyril Carlin has a strong background in data science and web development, with experience in developing anti-fraud systems, real-time decision support applications, and machine learning solutions.

Cyril Carlin completed their MSc in Computer Science & Applied Mathematics from the National School of Computer Science and Applied Mathematics of Grenoble from 2015 to 2019. In 2018, they also participated in an Erasmus Exchange program at Kingston University, where they focused on Computer Science and Mathematics. Additionally, Cyril has obtained several certifications, including Analyze Datasets and Train ML Models using AutoML and Introduction to Deep Learning from Coursera in 2022, Introduction to Designing Data Lakes on AWS from Coursera in 2021, and Data Scientist with Python Track and Convolutional Neural Networks for Image Processing Course from DataCamp in 2019.