Computer Science: Data Science & AI, Algorithms, and ML Project Management

From 33.22 C$ /h

I am a PhD student in computer science, holding a double degree: a Master's 2 International and an engineering degree in Data Science and Artificial Intelligence.
I offer theoretical and practical courses specialized in the following areas:

Python Programming:
- Data Science
- Machine Learning
- Deep Learning: Convolutional Neural Networks, Natural Language Processing, Graph Neural Networks, Generative Adversarial Networks
- Time Series

C Programming:
- Algorithms and Data Structures: arrays, linked lists, queues, stacks.

Machine Learning Project Organization:
- Structuring a project into packages and files on GitHub
- Integrating the project with an MLOps platform like Neptune.ai
- Creating jobs or execution scripts

Tools used:
- Python
- PyTorch
- GCC
- VSCode
- GitHub
- Neptune.ai
- Google Colab

Bonus:
Package publication on PyPI

Courses are held on online platforms such as Google Meet or Microsoft Teams.

Extra information

Please bring your computer, a sheet of paper, and a pen ready for note-taking.

Location

Online from France

About Me

I am a PhD student in computer science and hold a dual degree in Data Science and Artificial Intelligence, with a solid experience in teaching programming, data science, and machine learning. I teach because I enjoy sharing my knowledge and seeing my students progress and achieve their goals. I particularly appreciate motivated and curious students who are not afraid to ask questions to better understand.

My teaching approach is based on practice and interaction. I use many concrete examples to explain complex concepts, and I make sure to adapt my courses to the level and needs of each student. My goal is to make learning accessible and enjoyable while ensuring mastery of the required technical skills.

I prioritize a personalized teaching method focused on student success, while creating a stimulating and supportive learning environment. My objective is for each student to leave the sessions with a deep understanding and a desire to learn more.

This is the approach I offer to students and their parents to support them in their learning journey.

Education

- PhD student at the Conservatoire national des arts et métiers, Paris (currently)
- Master 2 International in Computer Science
- Engineering degree in Data Science and Artificial Intelligence

Experience / Qualifications

- Data Science and Artificial Intelligence
- Applied Mathematics and Statistics
- Flamenco guitarist and virtuoso musician

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

60 minutes

90 minutes

120 minutes

The class is taught in

French

English

Skills

Computer programming

Math

Computer science

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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I have a thorough knowledge of the mathematics curriculum for middle and high school (from 6th to 12th grade). I am also qualified to support students in preparing for international exams such as the SAT, the OMPT, and the International Baccalaureate (IB) in all its variations: Analysis and Approaches (AA SL/HL) and Applications and Interpretation (AI SL/HL).

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Topics of the course:
1. Algebra and combinatorics
2. Functions and their graphs
3. Trigonometric functions
4. Logarithmic functions
5. Inverse functions
6. Transformations
7. Coordinate geometry
8. Quadratic equations
9. Equalities and inequalities
10. Vector and the dot product
11. Vector representation of a line
12. Algebraic methods in planar geometry
13. Parametric equations
14. Sequence and series
15. Limits and asymptotes
16. Derivatives and integral calculus
17. Probability and statistics
18. Normal and binomial distribution
19. Hypothesis testing

And many more...

*Note that the sessions will be held online (via Discord/Zoom/Microsoft Teams).

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✨ Personalised approach
📚 Clear explanations + real understanding
🏆 Proven results in IB, OMPT, VWO & more

Let’s turn “I don’t get it” into “I’ve got this!”
Book the first session and see the difference.

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The International Baccalaureate (IB) offers several programs in Europe, including the IB Diploma Programme, the European Baccalaureate, and the IB's Primary Years Programme, Middle Years Programme, and Career-related Programme:

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Courses Offered

1. Basic Python Programming
This course is designed for beginners who want to build a solid foundation in Python.
Topics include:
Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
Data structures: lists, tuples, sets, and dictionaries
Mini projects and problem-solving exercises

2. Advanced Python Programming
This course is designed for learners who already know the basics of Python and want to explore its advanced features.
Topics include:
Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets

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---> Pay Only After Task Completion – No Upfront Payments! <----

Expert Programming & Web Development Tutor | Python, Java, C#, C++, Frontend, Backend, Databases, AI & Data Science

💻 Programming Languages:
✔ Programming: C, C++, Java, Python, PHP, JavaScript, HTML
✔ Mathematics: Linear Algebra, Calculus, Discrete Math, Probability, Optimization
✔ Object-Oriented Programming (OOP): Encapsulation, Polymorphism, Inheritance, Abstraction, Design Patterns
✔ Machine Learning: Neural Networks, Regression, Classification, Clustering, Reinforcement Learning
✔ Data Structures & Algorithms (DSA): Trees, Graphs, Linked Lists, Stacks, Queues, Priority Queues, Hash Tables, Tries, Heaps, Disjoint Sets, Sorting Algorithms (Merge Sort, Quick Sort, Heap Sort, etc.), Searching Algorithms (Binary Search, Linear Search), Dynamic Programming, Greedy Algorithms, Divide & Conquer, Backtracking, Topological Sort, Graph Traversals (BFS, DFS), Minimum Spanning Tree (Prim’s, Kruskal’s), Shortest Path Algorithms (Dijkstra’s, Bellman-Ford, Floyd-Warshall), String Algorithms (KMP, Rabin-Karp, Z-Algorithm), and more!
✔ Assignments, Homework, Labs, Projects, Exams, or Quizzes

🌐 Web Development:
Frontend – HTML, CSS, JavaScript, React, Laravel
Backend – .NET, PHP, Flask, Django

🗄️ Databases:
SQL, MongoDB

🧠 AI & Data Science:
Python for Data Science, Machine Learning, Pandas, NumPy, Data Visualization

✅ What You’ll Get:
Personalized one-on-one sessions
Clear explanations with real-world examples
Hands-on coding practice
Help with assignments, projects, and interview prep
A focus on understanding, not memorizing
No matter your level, I make learning tech engaging and effective. Let’s turn your goals into achievements—one line of code at a time!

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