Shreeja - Python tutor - Oakland
Shreeja - Python tutor - Oakland

Shreeja's profile and their contact details have been verified by our experts

Shreeja

  • Rate ₱2,781
  • Response 10h
  • Students

    Number of students Shreeja has taught since their arrival at Superprof

    13

    Number of students Shreeja has taught since their arrival at Superprof

Shreeja - Python tutor - Oakland
  • 5 (1 review)

₱2,781/h

Contact
  • Python

Python Tutor for All Levels | Stanford-Trained Instructor | Real Projects from Day One | Beginner to Data Science & Machine Learning

  • Python

Lesson location

Recommended

Shreeja is a respected tutor in our community. They have been highly recommended for their commitment and the quality of their lessons — an excellent choice to progress with confidence.

About Shreeja

Hi, I'm Shreeja — I started coding at 12 as a self-taught programmer, and I've been hooked ever since. I love turning ideas into real systems, which has led me into software engineering, AI research, and — naturally — teaching others how to do the same.

I'm currently a Stanford CS106A (Python) Section Leader and an intern at Morgan Stanley's Enterprise Computing & Data Analytics team in New York City, where I build and deploy production software systems used at scale.

I've led AI research at UMass Amherst, published a peer-reviewed blockchain study in a George Mason University research journal, and earned merit-based scholarships and recognition from AWS ($4K), Harvard ($1K), and Google. I've interned at the NJ Cybersecurity & Communications Integration Cell, conducted quantum ML research alongside the US Naval Nuclear Laboratory, and built full-stack production applications for enterprise clients including The New York Times.

I've tutored students across a wide range of ages, skill levels, and backgrounds — from middle schoolers just starting out to working professionals making a career switch. I've also been selected for programs like the MIT Beavers Autonomous RACECAR course, which gives me a real appreciation for how rigorous technical curricula are structured and how to make them accessible. Every student learns differently, and I tailor every session accordingly. My goal is always the same: make the concept click, build confidence, and leave you genuinely better than when we started.

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About the lesson

  • Elementary School
  • Junior High School
  • Senior High School
  • +11
  • levels :

    Elementary School

    Junior High School

    Senior High School

    Technical Vocational Education And Training

    Professional

    Adult Education

    Master

    Doctoral

    MBA

    Early Childhood Education

    Beginner

    Intermediate

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    Children

  • English

All languages in which the lesson is available :

English

Why I'm the right tutor for Python specifically:

Python is the language I use most. At Morgan Stanley, I’ve built multiple Python-based database libraries, taking them from development through the full lifecycle, including CI/CD and deployment. At UMass Amherst, I developed a PCA-based credit card fraud detection model and a multimodal Parkinson’s detection system—both implemented in Python. I also hold an AWS AI & ML Nanodegree (covering Python, NumPy, PyTorch, and LLMs) and a Google Advanced Data Analytics certification (covering machine learning, feature engineering, EDA, and hypothesis testing), both earned through merit-based selection. In addition, Stanford’s CS106A, which I teach, is a Python-first course.

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What we cover:

1. Python from absolute zero — variables, loops, functions, data structures, explained with no assumed knowledge

2. Coding logic and problem-solving mindset — not just memorizing syntax but thinking like a programmer

3. Real projects at every stage: calculators, games, web scrapers, data dashboards — something you can show people

4. Data science toolkit: Pandas, NumPy, Matplotlib, Seaborn — cleaning, analyzing, and visualizing real datasets

5. Automation: file handling, working with APIs, web scraping with BeautifulSoup & Requests

6. Intro to ML: training and evaluating your first models with Scikit-Learn

7. Clean code habits, debugging strategies, and writing code that other people can read

8. AP/IB Computer Science or College Python prep if needed

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To schedule an appointment, please send me any relevant materials beforehand, so that I can prepare for our session. Please feel free to contact me for any further information or to schedule your first lesson. I encourage you to actively engage and challenge me during our sessions to maximize our learning experience. I look forward to helping you achieve your goals!

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Rates

Rate

  • ₱2,781

Pack rates

  • 5h: ₱10
  • 10h: ₱20

online

  • ₱2,781/h

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