Alex’s world of fun coding projects.

Welcome!

Hello there! I’m Tianyi Ma, I go by Alex. I’m full of ideas and love to spend my spare time doing fun side coding projects. You can find them here.

Don’t be fooled by how I call them – they are fun side projects but they also help me practice a wide range of skills: from exploratory data analysis, to data visualization, to predictive machine learning, image processing, web dev, … It’s a whole new world out there and they always keep me learning! Even they are fun projects, they are by no means useless.

Here is a list of projects I’ve worked on and am currently building.

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Projects

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Electricity Demand & Generation

• Analysis Hex Notebook

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Analyzing Data

• List of Projects

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Coursera Marketplace Dataset 2023 (~1500 downloads)

• Dataset

• Github

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Learning notes for Deep Learning with Pytorch

• Codebooks

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Ongoing Project

• Bird Soundscape based on Ebird data [Github]
• Image Toys based on Brown University’s Computational Photography course
• Kindle Wrap: a visual summary of your kindle activities last year
• Geospatial analysis: maps and data

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Lecture Notes

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MATH4520 Mathematical Statistics Summer 2024 CU Boulder

• Chap 2
• Chap 3
• Chap 4

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Random things about me

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• I keep 3 cats with my husband. Their name is Butter, River, and Smudge.

• I lived in Beijing, China until 18 and came to America. My high school is 20 min walk away from the Ti’anmen Square.

• I have my mom’s surname.

• Music is my life.

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Serious stuff

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Education

B.S. in Mathematics, Minor in Computer Science
University of Rochester

M.S. in Applied Mathematics
University of Colorado, Boulder (graduating 2026)

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Work Experience

Terra.do: Software for Climate Course
June 2024 - Present (1 months)

An 8-week online course that unlocks student potential in building software for climate tech. Covers 4 essential areas: Public climate-relevant data sources, Geospatial + AI, Energy modeling, Software/hardware interfaces.

Climatebase Fellowship
March 2024 – June 2024 (3 months)

Participating in Cohort 5 of the Climatebase Fellowship, the climate career accelerator.

Software Engineer
Scale AI, a data labeling SaaS unicorn startup at the bay area
April 2022 - March 2023 (1 year)

Led a project that deployed a price prediction linear regression model that handled the payment calculation for the company’s data labeling workforce, around 40k-50k workers, and saved 10% labor cost.

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Skills

• Data Analysis Software: Microsoft Excel, Tableau
• Programming Languages: Python, R, SQL, TypeScript, Java, C/C++
• Software Framework and Libraries: React, NodeJS, Django, Pandas, NumPy, scikit-learn, selenium, BeautifulSoup
• Database: MongoDB, Postgresql
• Cloud Technology: GCP, AWS Lambda, s3, step function, Docker
• Business: Agile Dev, Lean Startup

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Strengths

• Curiosity
• Proactive problem solver
• Attention to detail
• Organized
• Fast skill learning
• Effective communication
• Work with teams

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Contact

For more information or inquiries, reach out to me on:

• Email: Alex’s email
• GitHub: @tianyimasf
• Blog