Do not hesitate to send me an e-mail at the following adress for suggestions or questions: leo.vuylsteker@hotmail.fr

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 entrance exams 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