Summary
Mina Makar is a Senior Data Scientist with six years of experience building fraud prevention and AI solutions, currently applying her skills to energy and public-sector projects at EY. She combines hands-on machine learning (near real-time fraud models, AML systems) with software engineering roots from Capgemini, enabling robust production integrations and automation. Mina is completing a Master’s in Data Science while researching Large Language Models for her thesis, reflecting a strong drive toward cutting-edge generative AI and prompt engineering. Her recent work spans face recognition, OCR pipelines, web scraping, and translating regulatory requirements (AI Act) into actionable risk assessments and training for non-technical stakeholders. Equally comfortable with technical model development and stakeholder-facing documentation, she has a track record of turning complex compliance and detection needs into practical, auditable systems. Outside work she pursues programming, fitness, and travel, which fuel her curiosity and pragmatic approach to problem solving.
6 years of coding experience
3 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Sapienza Università di Roma
Diploma Liceo scientifico scienze applicate, Diploma Liceo scientifico scienze applicate at ITIS GIOVANNI XXIII
English, Italian