Michael Ionitsa

Michael Ionitsa teaches programming and data science with a practical, industry-aware approach. His background combines a first-class BSc in Data Science from the University of Warwick with hands-on experience across technology analysis, data engineering and AI engineering.

At Barclays, Michael has worked as a Graduate Technology Analyst and previously as a Technology Analyst Summer Intern, gaining exposure to technology, risk, analytics and data-driven systems in a large financial institution. At Study Hall AI, he has worked across AI engineering and data engineering, building experience with modern data workflows and applied AI. Earlier internship experience at Nestle involved transforming analytical scripts from R to Python and improving data processes for business decision-making.

For students, Michael is a strong fit for Python programming, SQL, data analysis, data science foundations, AI/ML foundations and project-based analytics. His lessons can help students move from writing simple scripts to understanding how data is cleaned, modelled, interpreted and used in real systems.

Michael can also support chess as a secondary subject. Chess pairs naturally with programming and data science: students practise calculation, pattern recognition, planning under constraints and disciplined review of their own decisions. This makes it especially useful for students who want to strengthen general problem-solving alongside technical skills.

Michael's teaching style is well suited to older students who want practical coding skills, university-style preparation, or a clearer route into data science and technology careers.