Bouthaina H.

Design and delivery of intensive training programs for professionals in the following areas:

• Advanced Python for Scientific Computing:

A course focused on accelerating Python script performance through optimization techniques (e.g., decorators, memoization), advanced tools (Numba, Cython, CuPy), and libraries like Dask for parallel processing and large-scale data management.

• Advanced Python for Data Scientists:

Designed to enhance Data Scientists' Python skills, this course covered advanced data manipulation techniques (NumPy, Pandas), visualization (Matplotlib, Seaborn, Plotly Dash), database management (SQLAlchemy, Psycopg2), machine learning (Scikit-learn, TensorFlow, PyTorch), and the use of language models (LLMs) with Hugging Face for practical applications.

• Fundamentals of Statistical Analysis with R:

An introductory course to R programming covering data manipulation, programming, visualization (ggplot2), statistical analysis (e.g., regression, PCA), and the ecosystem basics (RStudio, file types), designed for beginners in data science and statistical analysis.

This project combines AI and innovation to create a system that generates personalized short films, where the user, using their own photos, becomes the main character. We used advanced technologies like Stable Diffusion, along with verification and quality improvement techniques, to ensure consistent and realistic results.

Technical contributions:

This project demonstrates an approach combining technical expertise and strategic vision to create an innovative, user-oriented solution.

In my role as an instructor for Python programming and data mining, I implemented a structured and innovative program that enables students to develop solid and applicable skills.