

The email address and phone number of Sai Manvitha have been verified.
Sai Manvitha
- Rate £26,607
- Response 1h

£26,607/hr
Unfortunately, this tutor is unavailable
- Maths
- Computing
- Thermodynamics
- STEM
Data Science Graduate and Award-Winning Instructor Teaching Math, Python, and AI with Personalized Socratic Approach
- Maths
- Computing
- Thermodynamics
- STEM
Lesson location
About Sai Manvitha
I am Sai Manvitha, a dedicated tutor and graduate student in Data Science with proven experience teaching Math, Python, and AI. As an award-winning instructor and the founder of an EdTech startup, I bring both academic expertise and real-world applications into my lessons. My goal is to inspire confidence in every learner by breaking down complex topics into clear, practical steps. Students can trust my professionalism and commitment — I adapt lessons to their pace, encourage curiosity through the Socratic method, and provide structured guidance to help them excel. Whether you are building strong foundations or exploring advanced concepts, I will support you with patience, clarity, and passion for teaching.
About the lesson
- Primary
- secondary
- Seconde
- +9
levels :
Primary
secondary
Seconde
Première
Terminale
BTS
Higher education
Professional training
Masters
Doctorate
MBA
Pre-primary
- English
All languages in which the lesson is available :
English
As a tutor, I believe that learning should be interactive, practical, and tailored to each student’s needs. My teaching method blends conceptual clarity with real-world application. I use the Socratic approach — instead of simply giving answers, I ask guiding questions that help students think critically and build confidence in solving problems on their own. This not only deepens understanding but also makes the learning process engaging and memorable.
A typical lesson plan begins with a quick recap of what the student already knows, followed by an explanation of new concepts using clear examples. I then integrate short exercises, problem-solving activities, or even mini-projects to reinforce the topic. Toward the end of the session, we reflect together on what was learned and set achievable goals for the next class.
What sets me apart is my unique blend of academic expertise and teaching experience. I am a graduate student in Data Science at UMBC, an award-winning instructor who has taught Robotics and AI to high school students, and the founder of an EdTech startup. This allows me to combine theory, practice, and innovation in my lessons. I don’t just teach formulas or code — I help students understand how these skills connect to the real world, whether in academics, careers, or research.
My lessons are ideal for middle school to university students, particularly those studying Math, Python, Data Science, AI, and related subjects. Whether you are preparing for exams, strengthening fundamentals, or exploring advanced concepts, I will adapt to your pace and goals, ensuring that learning feels motivating, supportive, and inspiring.
Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
I had the chance to learn from Sai Manvitha during the Summer Enrichment Academy, where I took her Robotics and AI class. From the very first session, it was clear that she has a gift for teaching — she explains complex concepts in a simple, engaging way and always makes sure every student feels included and confident.
Her style as a tutor is interactive, supportive, and inspiring. Instead of just giving answers, she guided us with thought-provoking questions that encouraged critical thinking. The hands-on projects and real-life examples made the lessons both fun and practical.
I highly recommend Sai Manvitha to any student on SuperProf. She is patient, professional, and passionate about helping others learn. If you’re looking for someone who can make challenging subjects like math, coding, or AI both understandable and exciting, she’s the perfect choice.View more recommendations
Rates
Rate
- £26,607
Pack prices
- 5h: £130
- 10h: £260
online
- £26,607/h
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