Hi! I’m Kai
I’m a Business Analytics Master’s Student, and graduated Data Science Major (and Econ Minor) from UC San Diego.
I’m looking to build industry experience and work on problems at the intersection of data and strategy.
Outside of my studies, I love to spend my time working on computers and cars, or learning new songs on my guitar.
For any inquiries, reach me at kai@ckai.io.
Experiences & Leadership
Rady Data Analytics Club
Vice President
Oct 2025 – Present
Leading Data Analytics club, hosting student events, establishing partnerships with other student orgs.
Data Science Student Society @ UC San Diego
Vice President External
May 2024 – Mar 2025
Led student org of 500+ members. Built External Outreach Team, hosted student networking events with industry partners from ASML, Blizzard, HP, etc.
Data Science Alliance
Data Scientist
June 2023 – Sep 2023
Completed data science summer internship at non-profit in San Diego focused on conducting and teaching responsible data science.
Bytes Coding
Chief Operating Officer
Sep 2018 – Sep 2019
Co-founded registered non-profit bringing STEM education to underprivileged students in the greater Vancouver region.
Business Analytics & AI
Petco Business Analytics Capstone
In-Progress
Capstone consulting project with Petco optimizing inventory and replenishment strategy across their North American retail network.
Uber Pricing Elasticity Analysis
Mar 2025
Measured Uber’s price elasticity using NYC congestion pricing as a natural experiment. Isolated causal effects via instrumental variable regression.
Recommended a 3-7% fare increase to grow revenue with minimal demand loss.
Netflix Business Economics Dashboard
Dec 2025
An interactive Streamlit dashboard analyzing Netflix subscriber growth, churn, and regional performance to, inform content and pricing strategy.
Identified Asia Pacific as the highest-growth market and North America as saturated.
Data Science & ML
Deloitte Data Science Capstone
Mar 2025
An adversarial neural network framework for mitigating algorithmic bias in classification models. Reduced gender bias by 95.6% in heart disease prediction with comparable balanced accuracy to a published CNN model.
Developed under guidance of 4 Deloitte consultants.
ChronoLit Language Model
Dec 2023
An NLP model predicting the publication era of literary texts spanning 500 years (1500-1999), reduced prediction error 5x over baseline across 8,700+ texts sourced from the Project Gutenberg APIs.
Built an end-to-end NLP pipeline with tokenization, TF-IDF feature extraction, and regression modeling.
Flight Delay Predictive Model
Mar 2023
A LightGBM classifier to predict flight delay severity across 1.9M+ US domestic flights, achieving 95% cross-validation accuracy using airline, route, and departure-time features.
Applicable to proactive rebooking systems and airline operational planning.
Gallery
The Bumper Comes Off
Cars have always been magical to me. They symbolize a freedom to explore the endless possibilities of the world. Drive safe!
From the Ground Up
I’ve always enjoyed customizing the systems and workflows around me, so it was inevitable that I eventually made the move to Linux on my personal devices. Here’s me configuring Neovim on an Arch Linux based system for my laptop.
