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Since March 2021
Instructor since March 2021
Translated by GoogleSee original
Computer courses (development in Python, C, C++, C#, etc.)
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From 54 $ /h
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Presentation :

Data Science and AI engineer.
IT consultant for 3 years in a Champagne House.

Methodology :

- online course
- possibility of sending training exercises (with correction, or correction directly during the next lesson)
- I am available every day for help with an exercise that poses a problem or other
- possibility of resuming your lessons and doing help sessions for your exercises, DM

Course:

Engineering degree in Artificial Intelligence and Data Science at EPITA
I also hold a Bac S, math option I did two years of preparatory Maths and Physics with Computer Science option (MPSI and MP).
Location
location type icon
Online from France
About Me
Diplômé de l'EPITA ( l'école des ingénieurs en intelligence informatique ) en août 2022, je suis actuellement consultant IT chez Champagne Perle Blanche.
Avant cela j'ai passé 2 ans en classe préparatoire MPSI/MP spécialisée en maths et physique.

Je suis maintenant spécialisé en Data science et intelligence artificielle.

Je donne des cours depuis plus d'un an maintenant.
Education
- Diplôme d'ingénieur en intelligence artificielle et en science des données à l'EPITA (L'ÉCOLE DES INGÉNIEURS EN INTELLIGENCE INFORMATIQUE).

- Classe préparatoire MPSI/MP

- Bac S
Experience / Qualifications
Expérience cours : Plus d'un centaine d'heure de cours déjà donné en Maths et Informatique.
Expérience professionnelles : data Scientist chez Roche ( 6 mois ) et IT consultant chez Champagne Perle Blanche ( depuis 3 ans )
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
English
French
Reviews
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Presentation :

Data Science and AI engineer.
IT consultant for 3 years in a Champagne House.

Methodology :

- online course
- possibility of sending training exercises (with correction, or correction directly during the next lesson)
- I am available every day for help with an exercise that poses a problem or other
- possibility of resuming your lessons and doing help sessions for your exercises, DM

Course:

Engineering degree in Artificial Intelligence and Data Science at EPITA
I also hold a Bac S, math option I did two years of preparatory Maths and Physics with Computer Science option (MPSI and MP).
Read more
Presentation :

Data Science and AI engineer.
IT consultant for 3 years in a Champagne House.

Methodology :

- online course
- possibility of sending training exercises (with correction, or correction directly during the next lesson)
- I am available every day for help with an exercise that poses a problem or other
- possibility of resuming your lessons and doing help sessions for your exercises, DM

Course:

Engineering degree in Artificial Intelligence and Data Science at EPITA
I also hold a Bac S, math option I did two years of preparatory Maths and Physics with Computer Science option (MPSI and MP).
Read more
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1st lesson is backed
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Similar classes
arrow icon previousarrow icon next
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As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

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Learn to code with method and logic
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Algorithms & Logic: Designing data structures and solving problems.

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Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation.

How lessons work

Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic.

In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions.

Practical details

Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe.

Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.
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Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about.

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Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle.

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What You Will Learn:

Python Fundamentals: Data types, loops, logic, and object-oriented programming (OOP).

Data Structures & Algorithms: Practical logic building and problem-solving techniques.

Database & SQL: Basics of designing relational databases and writing queries.

Data Analysis Tools: Introduction to Python libraries like NumPy and Pandas for real-world applications.

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Interactive live sessions with code-along exercises.

Step-by-step breakdown of academic homework and practical assignments.

Patient, structured, and student-centric support.

Feel free to send a message or book a lesson to get started on your tech journey!
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I am an experienced computer science teacher with many years of teaching experience and a university degree in Mathematics and Computer Science.

I offer individual online lessons in programming and computer science for school students, as well as support for university students in selected subjects. Lessons can cover Python, MATLAB, SQL and databases, algorithms and programming fundamentals, computer systems, and web development with HTML, CSS and JavaScript.

My lessons are adapted to each student's previous knowledge, current curriculum and individual goals. I explain concepts step by step and focus on understanding the logic behind programming rather than simply memorizing code.

We can work on current school or university topics, programming exercises and assignments, fill gaps in knowledge, prepare for tests and exams, or develop practical programming skills.

Lessons are taught online in Serbian, Bosnian or Croatian, which can be particularly helpful for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.
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Learn to code by creating your own games and interactive projects! These online lessons are designed for children and teenagers aged 7–17, from complete beginners to students with some coding experience.

We choose Scratch, Python, or Roblox Studio based on your child’s age, interests, and level. Students learn programming concepts, practise logical thinking, and discover how to find and fix errors independently.

I’ve been teaching since 2018 and have five years of software development experience. Each lesson combines clear explanations with practical activities in a friendly environment where questions are always welcome.

Students also get access to my learning platform to review materials and practise between lessons.
Good-fit Instructor Guarantee
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Contact Maxime