Scott Lee

About

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 them. 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.

Education

University of California, Berkeley 2016 - 2019
B.A. Computer Science, B.A. Statistics; 3.90
Recent courses: Data Structures, Techniques of Data Science, Artificial Intelligence, Probability, Discrete Math,
Lin Alg/Diff Eq

Skills

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

Programming Python, Java, SQL

Miscellaneous LaTeX, DLSR Photography, Lightroom, Sketch

Experience

UCSF School of Nursing

Research Assistant | Aug 2017 - Present

Applied convolutional neural networks to detect PVCs from ECG data by recognizing ST changes. Built a CNN to detect PAC beats in order to predict unstable heart conditions.

Brilliant

Data Science / Education Intern | May 2017 - Aug 2017

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

BerkeleyTime

Lead 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.

Teaching

UCB Data 8

Teaching Assistant | Aug 2017 - Present

Prepared materials and taught lab section, developed and graded assignments, and facilitated class logistics.

Berkeley Institute for Data Science, DS Education Program

Curriculum Committee Member | February 2017 - May 2017

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

Projects

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 Python and TensorFlow.

Jesture

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.

Delta

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.

LoopFresh

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.