Aditi - Maths tutor - San Francisco
Aditi - Maths tutor - San Francisco

The email address and phone number of Aditi have been verified.

Aditi

  • Rate UGX 206,622
  • Response 1h
  • Students

    Number of students Aditi has accompanied since arriving at Superprof

    1

    Number of students Aditi has accompanied since arriving at Superprof

Aditi - Maths tutor - San Francisco

UGX 206,622/hr

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  • Maths
  • Algebra
  • Physics
  • Statistics
  • Calculation

Rising junior @ UC Berkeley studying Electrical Engineering and Computer Science (previous @ Merck, AI/ML Researcher, Software Engineering). Passionate educator with experience teaching math, physics,

  • Maths
  • Algebra
  • Physics
  • Statistics
  • Calculation

Lesson location

About Aditi

Hi, I’m Aditi—a UC Berkeley EECS major with hands-on experience in machine learning research, software engineering, and teaching. I've contributed to advanced projects at Berkeley AI Research, Merck, and Space Sciences Lab, where I’ve built models for everything from drug discovery to autonomous rovers. My technical background is matched by a passion for education—I’ve taught over 100 students as a computer science course assistant, mentored peers through the EECS Honor Society, and tutored math, physics, and programming at multiple levels. I bring structure, clarity, and real-world relevance to every session, helping students not only master course content but also connect it to cutting-edge technology and meaningful applications.

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About the lesson

  • Primary
  • Secondary
  • Tertiary
  • +6
  • levels :

    Primary

    Secondary

    Tertiary

    University

    Adult Education

    Masters

    PhD (Doctor of Philosophy)

    MBA

    Early childhood education

  • English

All languages in which the lesson is available :

English

As a tutor with a background in Electrical Engineering and Computer Science at UC Berkeley, and prior experience in AI/ML research and software engineering, I bring both academic depth and real-world perspective to my teaching. My approach is grounded in clarity, adaptability, and empowerment. I focus on building conceptual understanding before diving into application. Whether teaching computer science, physics, or math, I start by identifying a student’s current level and tailoring explanations to match their thinking style. I use analogies, visualizations, and real-world examples—especially from engineering or AI—to make abstract concepts intuitive. I also encourage active learning through problem-solving, code walkthroughs, and Socratic questioning. Typical Lesson Plan: 0. Prep: I will reach out before our session, ask specifically what you need help with, construct a lesson plan, and compile resources to make sure I am prepared for the lesson. 1. Quick Diagnostic (5 mins): Review previous material or assess starting point. 2. Core Concept Focus (15–20 mins): Explain key ideas, using visuals or examples where needed. 3. Interactive Practice (20–25 mins): Work through problems or projects together. 4. Wrap-up (5–10 mins): Summarize key takeaways, set goals, and provide follow-up resources or exercises. For computer science lessons, I often integrate small coding challenges or debug sessions. For physics or math, I emphasize the "why" behind formulas and connect theory with problem-solving techniques. What Sets Me Apart I bridge academic rigor with real-world application. Having worked in industry and research, I can show how abstract topics (like linear algebra or recursion) are used in machine learning, software development, or signal processing. I also have experience teaching students at both the high school and university level, so I understand how to scaffold complex material for learners at any stage. Moreover, I genuinely care about my students' confidence and growth -- I want to ensure that I am able to share the same passion for learning to others that my teachers have shared with me. Who the Lessons Are For: I tutor high school and college students, especially those taking: -AP or IB Math, Physics, or CS courses -University-level EECS or CS classes (data structures, algorithms, systems, ML, etc.) -Those preparing for technical interviews or wanting support in coding or AI/ML projects Whether you're preparing for an exam, trying to understand a difficult concept, or applying theory to a project, I tailor each session to meet you where you are and help you grow from there.

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Rates

Rate

  • UGX 206,622

Pack prices

  • 5h: UGX 1,033,110
  • 10h: UGX 2,066,220

online

  • UGX 206,622/hr

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