Bouthaina Hamaissia

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Thesis defense jury member for a Master’s (Bac+5) in Data & AI Project Management

Sep 2025

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Functional Data Programming Instructor

May 2025 - Jul 2025 (3 months)

Founder in Residence

Hook

Sep 2024 - Oct 2024 (2 months)

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Trainer in AI & Data Science Tools

Pythagore FD & PLB Consultant

Jun 2024 - Current (2 years 5 months)

Designed and delivered intensive training programs for professionals in :
• Generative AI and automation with low-code/no-code tools: A training program designed for professionals and business leaders, focused on the use of generative AI (ChatGPT, Midjourney, etc.) and low-code/no-code tools (Make, n8n, Zapier) to automate tasks, enhance productivity, and integrate artificial intelligence into their business processes.
• 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 handling.
• Advanced Python for Data

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Machine Learning Engineer

Apr 2024 - May 2024 (2 months)

This project aims to create an innovative system that generates personalized short films where the user, using his photos, becomes the main character of the film, by leveraging AI technologies such as Stable Diffusion, combined with verification and quality enhancement techniques to ensure consistent and realistic results. Tasks :
• Analysis of existing methods: A state-of-the-art review on verification and correction techniques for images generated by Stable Diffusion was conducted.
• Consistency verification: Methods were applied to ensure that the generated images are visually consistent and aligned with expectations.
• Improvement of generated images: Innovative strategies were developed to enhance the quality and reliabi

Founder in Residence

Antler

Sep 2023 - Dec 2023 (4 months)

I was accepted into Antler VC’s incubation program for early-stage startups, which allowed me to benefit from high-level mentoring to develop innovative projects.
• Collaborated with industry experts to define problem statements, conduct user research, and validate market opportunities, ensuring alignment with business goals and customer needs.
• Developed an MVP for an educational Learning & Development (L&D) application, utilizing Figma to create the product prototype and focusing on product vision, roadmap development, and managing the product lifecycle from concept to delivery.
• Utilized data-driven decision-making and advanced data analysis to identify user needs, prioritize features, and drive product performance impro

Python Programming & Data Mining for Business Instructor

ESSEC Business School

Sep 2023 - Dec 2023 (4 months)

As part of my role as a Python programming and data mining instructor, I implemented a structured and innovative program that allows students to develop strong and applicable skills.
• Developed a comprehensive program covering the fundamentals of Python programming as well as advanced topics related to data extraction, exploration, visualization, and machine learning.
• Integrated real-world case studies and projects to provide students with hands-on experience in solving data-related challenges.
• Provided personalized support to students throughout their data exploration projects, ensuring the proper application of Python programming concepts and the techniques learned.

Machine Learning Engineer

Valtech

Sep 2022 - Dec 2022 (4 months)

The project aims to develop a proof of concept (POC) for a multimodal conversational AI for e-commerce, where users can either describe the item they are looking for or select an item and specify what they would like more or less of, with the details they desire. The system uses this description to search the database for an item matching the description or both the selected item and the provided description. Tasks:
• Conducting a state-of-the-art review on available multimodal models, exploring their capabilities to handle visual and textual data together.
• Data collection (internal & external: via web scraping using Selenium, BeautifulSoup, and requests).
• Developing customized solutions for data cleaning, analysis, explo

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Data Scientist

Feb 2020 - Jul 2020 (6 months)

The project focuses on the problem of data sparsity in user-based collaborative recommendation systems. This challenge arises when interactions between users and items are limited, making it difficult to generate relevant recommendations. To address this, several dimensionality reduction techniques are explored, including advanced machine learning methods. Tasks:
• Created, cleaned, and analyzed datasets, preparing the data for the development of the recommendation system.
• Conducted an extensive literature review on dimensionality reduction methods applied to recommendation systems.
• Proposed suitable reduction methods, using an autoencoder and principal component analysis (PCA), and developed a user-based collaborative re

Bouthaina Hamaissia

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Bouthaina Hamaissia

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