I offer personalized tutoring in Chemistry and Python programming for high-school, IB and university students. Chemistry: general, inorganic, organic and physical chemistry, with emphasis on deep understanding of chemical principles, molecular structure, reaction mechanisms and problem-solving techniques. Exam preparation (Panhellenic exams, IB, university courses). Python: from first steps in programming to scientific computing: NumPy, data analysis and plotting, and an introduction to machine learning for science students. I'm a chemist (Aristotle University of Thessaloniki) with a thesis in computational chemistry and machine learning, and 5 years of tutoring experience. Each lesson is adapted to the student's level and goals, with clear explanations, worked examples and practice problems.

I’m a SideFX Certified Instructor and 3D artist with 20 years of experience in CGI. I offer one-to-one online Houdini lessons tailored to your level, interests, and goals. If you’re new to Houdini, we can start with the interface, nodes, attributes, and the principles of procedural modeling. If you already use it, we can focus on VEX, simulations, lighting and rendering, or building more effective procedural workflows. I can also help you understand and troubleshoot a project you’re working on. Lessons are practical: we’ll work in Houdini together, and I’ll explain the reasoning behind each step so you can apply what you learn independently. Before our first session, tell me about your experience and what you’d like to achieve, and I’ll prepare a lesson around it.

Overview Transitioning from learning data science theory to solving actual business problems is the hardest step for any aspiring data professional. [Insert Chosen Course Title] is an intensive, mentor-led program designed to simulate a real-world data team environment. Instead of working through synthetic, pre-cleaned textbook datasets, you will take on messy, complex industry scenarios and turn them into end-to-end data products. What You’ll Experience End-to-End Execution: Walk through the full data lifecycle—from problem scoping and data extraction to exploratory analysis, modeling, and executive stakeholder presentation. Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about. 1-on-1 & Group Mentorship: Receive continuous code reviews, architectural feedback, and project guidance mirroring the experience of working under a Senior Data Scientist or Analytics Lead. Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle. Who This Is For Aspiring Data Analysts, Data Scientists, and recent graduates who know Python, but want the practical experience, confidence, and portfolio needed to land high-impact roles in the industry.