Josh Zhang

Hi! My name is Josh Zhang, and I am a current student at Harvard University studying a double major in Computer Science and Statistics. I am actively seeking a 2025 fall internship. Feel free to reach out!

About Me

Hi everyone! My name is Josh Zhang, and I am a rising senior at Harvard College studying Computer Science and Statistics. Currently, I am extremely interested in learning much more about software engineering, data science, and machine learning, but I am very eager to learn about other miscellaneous tech-related topics outside of my scope :)

Programming Languages: Python, R, JavaScript, C++, Swift, SQL
Machine Learning Frameworks: Scikit-Learn, TensorFlow, Keras, PyTorch
Front-End Development: React, Redux, Firebase, Tailwind, CSS
Data Analysis: Pandas, Matplotlib, Seaborn, StatsModels
Other Tools: Hugging Face, AWS Cloud Services, Supabase, OpenAI API, Blender, Fusion360, Photoshop, Premiere Pro

Experience

Research Associate

Project CETI

Worked with Professor Daniel Vogt and Harvard graduate students to devise and develop various whale tag iterations aimed at enhancing tag resilience for monitoring whale health, activity, and environmental conditions

Research Associate Intern

University of Virginia Engineering Department

Worked with Professor Steven Bowers and UVA graduate students to design and test four identical low-frequency wake-up receivers operating at nano-watt power levels, including one achieving 0.03 picowatts with a -105 dBm signal, making it approximately 100 million times more efficient than existing models

Apparel Reseller

Personal Business

Purchase apparel and shoes from brands and resell in secondary markets for profit
Acquired items and made over $60K in net profit with an average of 45 inventory days, representing a 65% return on capital invested
Developed a network of buyers and sellers to facilitate transactions

Projects

Decoding Winning Patterns in Professional Basketball via Attention-Based Sequence Models

NESSIS 2025

Accepted into the 2025 New England Symposium on Statistics in Sports (NESSIS)

Developed transformer-based neural network models using player-level NBA data (2016-2025) to predict regular season and playoff win totals with Validation MAEs of 6.49 and 2.12, respectively

PythonNBA APITensorflowKerasScikit-Learn

Mass. Food Network

Hacking Injustice 2025

Grand 1st Place Prize Winner

Developed an app that allows users to upload grocery lists, parses through vender input, and optimizes affordability through balanced cost-distance, per-item pricing, and proximity-focused matching

PythonOpenAI Vision APIRegexOpenAI APIGoogle Maps APIGoogle Sign-In APISupabaseReactJavascriptNext JSTailwind CSSShadCNNode JSSupabase

Monch

HackUTD 2024

1st Place in Pinata Platinum Sponsor Category

Deployed an AI-powered app that uses photos of your food to recognize ingredients, determine portion sizes, and calculate macro breakdowns

PythonTensorFlowReactTypescriptNext JSTailwind CSSShadCNNode JSPinata Cloud

Say Hi!

Hello! Thanks for taking the time to check out my website. I am always open to meeting new people so feel free to reach out to me about anything!

Contact Me