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Léo Vuylsteker - CV (English)
- 1. Leo Vuylsteker Master's student in machine learning, big data management and business analytics Open to master thesis opportunities offered companies especially in the field(s) of data science and/or machine learning. Personal Info Adress 54 rue Victor Hugo, 62220 Carvin, France Phone +33 75 262 6997 (M) E-mail leo.vuylsteker@hotmail.fr Date of birth 1997/04/22 LinkedIn linkedin.com/in/leovuylsteker/ GitHub github.com/Somerlinck Softwares Python Proficient (Keras, Tensorflow, Scikit-learn, OpenCV, Numpy, Pandas ...) Java Proficient MS Office Proficient SQL Intermediate R Beginner Data structures: JSON, XML... Languages French Native Speaker English - Certified (IELTS 7.5) Proficient German Intermediate Interests ● Lifelong sport fan. Great knowledge of football. ●Read scientific publications in both English and French on a regular basis. ● Willingness to develop continuously new knowledge/skills. ● Volunteering: Provided a regular help to undergraduate students. 2021- 2019 EIT Digital Master School (Stockholm, Sweden & Helsinki, Finland) Double master's degree in Data Science with 2 European universities: KTH Royal Institute of Technology and Aalto University. Core Subjects : programming for data science, machine learning, computer vision, statistics, artificial neural networks, deep learning, entrepreneurship... 2021- 2017 IMT Atlantique (Nantes, France) One of the top engineering schools in France.Master in design, optimization and management of industrial systems. Core Subjects : mathematics, data analysis, operational research, constraint programming, decision making tools, project management in computer science... 2017- 2015 Lycee Faidherbe (Lille, France) Undergraduate studies. Advanced and intensive courses in mathematics and physics preparing for competitive entranceexams to top French universities. 2015- 2012 Lycee Diderot (Carvin, France) French scientific baccalaureate specializing in mathematics and physics with high honors. 07-2019- 06-2019 Data Scientist CIES - International Centre for Sports Studies A 2-month internship with CIES football observatory, a prestigious sports research organism in Switzerland. Developed web scraping and machine learning solutions for football players analysis (Python, R, Excel). 01-2019- 12-2018 UX Developer Car-expresso Worked with a student team in an innovative Startup for a 3-week internship. Designed and coded an intelligent chat bot (Python). Used collaborative tools such as Github, Trello and Slack. Agorize - Sport Analysis Challenge Competition organized by l'École Polytechnique and Paris Saint-Germain. The goal of this challenge was to predict several events using Opta football F24 data (Python). VieML Feature extraction and video data augmentation using deep neural networks (Python). HNN permutation flowshop Creation of a framework for solving scheduling problems using an artificial neural network (Java). Wrote a scientific paper showing and analyzing the key results of the project. ● Strong background in both mathematics and statistics (grade A). ● Deep understanding of machine learning/deep learning theory and experience building models to solve problems. ● Experience in managing, analyzing and visualizing large and complex data sets. ● Effective and adaptable communication skills (oral & written). Team-working. ● Strong work ethic, autonomous, organized, proactive, curious and creative... Education Experience Research Projects Skills