Summary
Mohamed Romdhane is a Python-focused Data Science Engineer with nine years of practical experience building ML-driven products and financial analytics platforms. He has implemented end-to-end solutions—from deep learning recommendation engines and anomaly detection for flight bookings to an intelligent trading platform using Django, Streamlit and NLP-based sentiment analysis. Comfortable across the stack, he combines backend development, interactive visualizations and automation (including .NET Core, Google Scripts and Excel integrations) to turn complex data into actionable products. Based in La Marsa, Tunisia and finishing a data science bachelor at ESPRIT, he seeks AI and data-driven roles where he can apply production-ready models and domain knowledge in finance and travel. Notably, he has a track record of enriching user experience by fusing external signals like weather and distance into search and recommendation systems.
9 years of coding experience
1 year of employment as a software developer
Bachelor, Specialization in Data Science, 5th Year Student, Bachelor, Specialization in Data Science, 5th Year Student at Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT