Tutor details
Joseph
Personal Statement
Joseph holds a Master’s Degree in Econometrics and a Bachelor’s in Mathematics and Economics from Tbilisi State University. He has also completed advanced certification in Data Science and Machine Learning from the Massachusetts Institute of Technology. With a deep appreciation for both the theoretical and practical sides of mathematics, Joseph is committed to making math accessible, engaging, and personally meaningful to each student.
He specializes in high school and college-level mathematics and takes joy in helping students explore not just how math works, but why it matters. Joseph believes in learning through curiosity and discovering ideas together with his students. He often enriches sessions with classic texts like Mathematics for the Nonmathematician by Morris Kline and Mathematics for Economists by Carl P. Simon and Lawrence Blume—resources he uses to bridge formal curriculum with real-world applications.
Known for his patience and empathy, Joseph creates a learning space where students never have to feel embarrassed to ask questions. He works from both school textbooks and his own trusted resources, encouraging students to think deeply and learn joyfully at their own pace.
Education
Master's Degree in Econometrics – Tbilisi State University – 2002
Bachelor's Degree in Economic Cybernetics – Tbilisi State University – 2000
Subjects
Awards and Recognitions
Certificate in Data Science & Machine Learning – MIT Schwarzman College of Computing – 2024
Hackathon Achievement: First Position (Great Learning) – Jun 2024
Testimonials
“Joseph helped me build a solid understanding of core algebra and pre-calculus concepts that are foundational to my electrical engineering coursework. His explanations made complex ideas click, and I felt a real shift in my confidence and performance. I’m grateful for how he connected math theory to real-world applications—something I hadn’t experienced before.”
— Mathew P., Penn State University