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. In particular, I'm piqued by artificial intelligence, machine learning, and automation.

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.


University of California, Berkeley 2016 - 2019
B.A. Computer Science, B.A. Statistics; 3.94
Recent courses: Data Structures, Algorithms, Techniques of Data Science, Artificial Intelligence, Probability/Random Processes, Statistics, Discrete Math, Lin Alg/Diff Eq


Programming Python (+ Pandas, Scikitlearn, TensorFlow, Apache Spark), SQL, Java

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

Miscellaneous LaTeX, DLSR Photography, Lightroom, Sketch


UCSF School of Nursing

Research Assistant | Aug 2017 - Present

Applied convolutional neural networks to detect Premature Ventricular Contractions from electrocardiogram readings by recognizing ST changes. Built a convolutional neural network to detect Premature Atrial Contractions in order to predict unstable heart conditions.


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.


Data Scientist/Product Manager | Jan 2018 - Present

Led small team of developers in implementing new features for UC Berkeley's most popular course catalog, with over 26,000 monthly users.
[Lead Engineer | Jan 2017 - Dec 2017]


UCB Data 8

Head Teaching Assistant | Jan 2018 - Present

Prepared materials, taught lab section, held office hours, and developed assignments, and facilitated class logistics. Assisted the Head of Staff in managing staff, organizing exams and managing enrollment for a class of 1200 students.
[Teaching Assistant | Aug 2017 - Dec 2017]

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.


Neural Net Applications | Python

Implemented a neural net from scratch (creating a graph class, implementing matrix operations, backpropagation, etc). Applied NNs to solve various problems, such as digit classification, language classification, and function approximation.

Song Classifier | Python, TensorFlow

Created a deep learning classifier that categorizes songs as either country or hip-hop based on lyrics frequencies. Achieved an accuracy rate of 89% and was selected as one of 10 winners of a 200-member Kaggle contest.

Jesture | HTML, CSS, JS, jQuery, Python, C, AppleScript

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

Delta | HTML, CSS, Javascript, jQuery, Bootstrap, Rails

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

LoopFresh | HTML, CSS, Javascript, Bootstrap, PHP

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.