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Thomas ZILLIOX

Thomas ZILLIOX

Etudiant

Le Wagon, Paris

Technologies

My Portfolio Highlights

My New Course

Applying SQL to Real-World Problems

My New Course

Case Study: School Budgeting with Machine Learning in Python

My New Course

Applying SQL to Real-World Problems

Insights evangelist, spreading the gospel of data-driven decision-making.

My Work

Take a look at my latest work.

DataLab

Analyzing Student's Mental Health - Guided

DataLab

Project

DataLab

Tech Stock Prices

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DataLab

Analyzing Student's Mental Health - Guided

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Introduction to SQL
Understanding ChatGPT
Introduction to Power BI

My Work Experience

Where I've interned and worked during my career.

Alstom | Feb 2022 - Jun 2022

Data Scientist Junior

Selection method in order to predict future degradations of our devices. Attending meetings for Project Management using Azure DevOps Services; Use of the agile methodology. Creation of a process in order to process and use available data (signals given by the train). Participation to a Machine Learning Project Management (Data Pipeline) for the Viveris enterprise, in order to improve their efficiency in their data management.
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Weber Industries, Inc. | Jun 2015 - Sep 2015

Intern

Three months internship where I managed the delivery and the orders of several products, such as beds, desks, cupboards and shelfs. I also checked and improved the keyword researches of these products.

My Education

Take a look at my formal education

Management de projet in Coursera | 2022
Licence , Mathématiques (Second year) in Département d'informatique | UFR math-info | 2022
Data Science with Python, Data scienceDataCamp | 2018
Not ended (Health Problems) in Rennes School of Business | 2015
Classes préparatoires aux grandes écoles (CPGE), Commerce internationalLycée International des Pontonniers | 2014

About Me

Thomas ZILLIOX

I am a Data Scientist, a Data Analyst and I have all the qualities needed to analyze data and make predictions. Being in the field of data for 7 years, I am convinced that all today's companies must be data-driven.

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