Summary
Muneeb Hassan is a data scientist based in Paris with 11 years of software and research experience, currently applying machine learning to real estate problems at HOMIWOO. He blends strong engineering foundations—databases, web applications, Java/Spring and R—with academic rigor from a Master 2 in Data Science (Grenoble) and research on neural-network explainability at LIG. His background spans production QA automation at Fujitsu to ML research stints at RMIT, giving him a practical edge in turning models into reliable systems. Comfortable across the stack, he pairs algorithmic thinking with hands-on data engineering and UI-aware development from earlier Java and ASP.NET roles. Colleagues would note his uncommon mix of explainability-focused research and real-world product delivery in the property tech domain.
11 years of coding experience
2 years of employment as a software developer
Master 2, Data Science, 13.78/20, Master 2, Data Science, 13.78/20 at National School of Computer Science and Applied Mathematics of Grenoble
Matriculation, Computer Science, A+, Matriculation, Computer Science, A+ at KBV CAA model School & College
HSC, Pre-Engineering, A, HSC, Pre-Engineering, A at Adamjee Government Science College
MS, Computer Science, 3.30, MS, Computer Science, 3.30 at RMIT University
Bachelor of Engineering (BE), Computer and Information Systems, Bachelor of Engineering (BE), Computer and Information Systems at NED University of Engineering and Technology
French, Urdu, English