Summary
Fereshteh Rabbani is a Senior Data Scientist based in Hamburg with six years of applied experience blending statistical rigor, machine learning, and data visualization to solve product and research problems. She has progressed from academic research in network science and complex systems to production-focused roles at receeve and Kaufland e-commerce, building real-time pipelines and interpretable analytics. Her technical toolkit spans Python, R, MATLAB, SQL, TensorFlow, and visualization libraries, and she frequently translates complex models into clear visuals and business insights. Notably, her PhD-grounded background in complex systems informs a pattern-oriented approach to messy, multi-source data—helping uncover behavioral structures that traditional methods miss. She combines scientific writing and teaching experience with hands-on model development, making her effective at both stakeholder communication and technical mentorship. Fereshteh’s work habitually bridges research-grade methods and production constraints, delivering robust, explainable solutions for e-commerce and fintech contexts.
6 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Physics, Master of Science - MS, Physics at Iran University of Science and Technology
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Ferdowsi University of Mashhad
Doctor of Philosophy (Ph.D.), Network Science; Complex systems, Doctor of Philosophy (Ph.D.), Network Science; Complex systems at Shahid Beheshti University