In 2025, I am fully committed to enhancing my skills in Data Science and AI while expanding my GitHub portfolio with insightful notes and project showcases.
In 2024, I built a strong foundation in software engineering, leveraging exceptional learning resources like the STUDI platform and the www.educative.io platform. My focus has been on mastering core software development principles and hands-on practices.
- Object-Oriented Programming (OOP): Proficient in Python and UML-based Object-Oriented Design.
- Algorithmic Problem Solving: Expertise in designing efficient programs using advanced Data Structures.
- Database Systems: Skilled in relational database modeling and implementation with SQL and Python ORM.
- API Collaboration: Adept at integrating and communicating with APIs and libraries using Python.
- Software Management & Quality: Knowledge of Agile SCRUM practices and software engineering principles.
These achievements have prepared me for the next step: diving deeper into Data Science and AI Engineering. My strong foundation in problem-solving, software design, and data modeling ensures I’m ready to tackle advanced machine learning and artificial intelligence concepts.
- Data Analysis & Visualization: Master tools like Pandas, NumPy, Matplotlib, and Seaborn for in-depth data exploration.
- Machine Learning: Build and evaluate models using scikit-learn; implement algorithms like regression, classification, and clustering.
- Deep Learning: Develop expertise in TensorFlow and PyTorch for NLP and computer vision tasks.
- Big Data Technologies: Learn to handle large-scale datasets using Hadoop and Apache Spark.
- Mathematics & Statistics: Strengthen foundations in linear algebra, calculus, probability, and statistical modeling.
- Software Engineering for AI: Improve Python programming for AI applications; deploy models with Docker and Kubernetes.
- Advanced AI Topics: Explore Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning.
- Projects & Collaboration: Contribute to open-source projects and build a comprehensive Data Science portfolio.
- Certifications: Achieve industry-recognized certifications and stay updated on the latest trends in AI.
I’m actively seeking collaborative opportunities in Python programming, Data Science, and AI. If you're enthusiastic about tackling challenging problems or building innovative projects, let’s connect!
- Hands-On Python Expertise: I continuously refine my Python skills, focusing on AI-driven projects.
- Data-Driven Mindset: My approach emphasizes end-to-end workflows, from data cleaning to predictive modeling.
- Growth-Oriented: I embrace lifelong learning through coursework, projects, and collaborations.
I’m pursuing a work-study (alternance) position to support my Master’s in AI Engineering with OpenClassrooms. This opportunity would enable me to gain hands-on experience while advancing my education, building a bridge between theory and practice.
Feel free to explore my project. If you know of opportunities aligning with my skills and goals, let’s talk!
I am deeply committed to leveraging AI for transformative applications in:
- STEM Education: Creating AI tools that personalize learning, making complex subjects accessible and engaging for learners.
- Scientific Research: Accelerating discoveries through AI-driven insights and automated data analysis.
- Healthcare: Enhancing diagnostics, streamlining processes, and developing predictive models for improved patient care.
Let’s work together to innovate in these critical fields and create meaningful impact!
👨💻 Let’s connect and collaborate to drive AI innovation!
📫 How to reach me: [email protected]
⚡ Fun fact: When I'm not coding, I enjoy listening to electro music while walking in the city of Strasbourg, France. So, be patient when I won't call back.