Data Scientist
I’m a data scientist and web development enthusiast with a passion for teaching and making knowledge accessible to everyone. Guided by curiosity, creativity and a drive to empower others through learning, I’m always building, exploring and sharing.
🌟 Professional Interests
Since November 2023, I have held the position of Temporary Teaching and Research Associate (Attaché Temporaire d’Enseignement et de Recherche) at the University of Lille. I actively contribute to multiple academic programs, notably the BUT in Data Science and various Professional Bachelor’s degrees, delivering courses across diverse topics.
My teaching portfolio covers a wide spectrum of statistical methodologies, from Descriptive analysis to advanced statistical modeling. I design and lead lectures, tutorials and hands-on sessions employing industry-standard tools such as R, Python, Excel and SAS to equip students with practical data analysis and programming skills.
Beyond classroom teaching, I have successfully supervised numerous student projects, guiding them through the application of statistical techniques and data science principles to real-world datasets. This mentorship fosters critical thinking and practical problem-solving, ensuring student success in their academic and professional pursuits.
My research is centered on the analysis of large-scale and complex spatial data, where I develop and implement innovative statistical models tailored to address challenging problems in biostatistics and related fields. I have authored peer-reviewed publications that propose novel methodologies for spatial data analysis, reflecting my commitment to advancing the scientific community’s understanding of complex data structures.
