Parth Sinha

About Me
Hey! My name is Parth and I am pursuing my MSc in Artificial Intelligence at Queen Mary University of London. I have always enjoyed assisting students in crushing their objectives with clear creative explanations. I have strong confidence in the idea that STEM, which is an abbreviation of Science, Tech, Engineering, Math, does not need to be intimidating; it must be simplified.

My Teaching Methodology
I maintain a high level of support and amiability. I marked 94% on my personal Maths boards, and scanned Linear Algebra and Physics when pursuing my engineering degree, and thus I know precisely where students are likely to get stuck.

I focus on:
1. Simplification: When I was at IBM (through EduNet), I was obliged to describe tech-related items to non-technical individuals. I transfer that same energy to my classes, chopping hard ideas into little pieces.
2. Confidence Building: I am a believer in increasing confidence in basic Science and Maths. Through the Everyone Grows program, I have taught with diverse backgrounds, and therefore, learning has been made friendly to the low-income students.
3. Organized Advancement: I have lesson plans and I will monitor the progress to ensure that we are always on track towards your goals.

Subject Expertise
Maths and Physics: I provide excellent tutoring with the support of best grades and performance on A level level throughout my lifetime.
Programming: I am proficient with Python, TensorFlow, Java, C++, and C. I am currently developing advanced algorithms and heuristic AI, which means that I can get you out of Hello World and to elaborate concepts of code.

Format
I am willing to work remotely through Zoom, Google Teams, Google Classroom, or Google Meet. I have a flexible schedule and I am whole heartedly determined to ensure that your learning process succeeds. Let’s unlock your potential!