Hey, I'm Scott.

I'm a front-end engineer gone data scientist.


I'm Scott Lee, a Bay Area resident for the past decade, tech fanatic, and tea connoisseur. I'm currently doubling in Computer Science and Statistics at UC Berkeley. I started off as a front-end engineer in high school, but since then, I've branched out into data science because of my interest in statistics.

I'm also deeply interested in teaching and education; as such, I try to do a lot of my projects and work around this topic. One day, I hope to make accessible, high-quality education a practical reality through technology.

You can find my resume below, or if you prefer, here in PDF form.


Web Development HTML, CSS/LESS, Javascript, jQuery, Bootstrap

Programming Python, Java, SQL

Miscellaneous LaTeX, DLSR Photography, Lightroom, Sketch



Data Science Intern | May 2017 - Aug 2017

Conducted data analysis using SQL and Python; brainstormed and produced curricula for various CS and data science courses.


Lead Frontend Engineer | Sept 2016 - Present

Led small team of developers in implementing new features for UC Berkeley's most popular course catalog, with over 26,000 monthly users.

Thing Control, Inc.

Project Intern | May 2016 - August 2016

Created various projects applying prototype modular electronic components and revolutionized the manufacture and assembly of electronics.


Berkeley Institute for Data Science, DS Education Program

Curriculum Committee Member | February 2017 - Present

Developed curriculum for a gender studies research course at UC Berkeley (GWS 101) and constructed general, multidisciplinary curriculum using iPython.


Coder Coach | Jan 2016 - June 2016

Led group coding classes and semiprivate lessons in Scratch, Snap, Javascript, Python, and Java. Pioneered new set of interactive course materials for individual lessons.



Created gesture detection application with the Synaptics touchpad; implemented API for Spotify, Slack, Facebook, and more, then linked to a sleek web UI.

Built with HTML, CSS, Javascript, jQuery, Bootstrap, JSON, Python, C, and AppleScript.

Song Classifier

Built a neural net classifier that was able to distinguish between country and rap songs, achieving an accuracy rate of 89% and being selected as a winner for a class contest.

Built with TensorFlow.


Designed online open-source calculus curriculum with a random problem generator that adapts to a student's responses.

Built with HTML, CSS, Javascript, jQuery, Bootstrap, and Ruby on Rails.


Created app that sends notifications to students whenever grades are posted for school assignments and features a flexible grades spreadsheet with additional tools for students and staff.

Built with HTML, CSS, Javascript, Bootstrap, and PHP.