Riley
Leong
Data Engineer and Project Manager
Mathematics of Computation Major at UCLA. Passionate about using data to solve business needs, leading teams, and generating impact.
About Me
My Experience
Data Engineer Intern
Fidelity Investments | Durham, NC
Engineered a generative AI tool allowing internal teams to quickly search for common production issues based on past MS Teams Messages
Project Management Intern
OPN Healthcare | Los Angeles, CA
Led a team of 13 data science interns with AGILE methodology to produce a cost modeling tool for oncology regimens and automate KPI dashboards
Data Science Intern
First American | Santa Ana, CA
Developed Python scripts to innovate ETL process and reformed data integration process using R and SQL Server
Student Data Science Intern
Poppin | Los Angeles, CA
Engineered 1st data pipeline for social media startup with Snowflake, dbt, and Airflow. Visualized user/financial metrics in Power BI dashboard used directly in pitch securing Crunchbase funding.
Undergraduate Teaching Assistant
UCLA Mathematics | Los Angeles, CA
Mentored peers in Introduction to Computer Science taught in C++, Introduction to Statistics taught in R, and Calculus I
Associate Substitute Instructor
Benicia Unified School District | Benicia, CA
Developed curriculum for K-5th grade students in summer program covering elementery algebra and mathematical intuition
My Projects
Easy-Apostrophe
Created a VS Code extension that makes creating lists of strings, comma-delimited items, and many more structures easier using TypeScript and VS Code deployment terminal
Healthy Communities
Conducted principal component analysis in Python to reduce a county health dataset and perform feature extraction to support evidence for established causes of physical inactivity
Data-Valex
Developed web application in React Native and TypeScript supported by Python library GX to perform simple binary and boolean operations on uploaded datasets
NLP Application
Created a framework in Flask performing exploratory data analysis and transformation on media data in Python and performed regression and classification tasks in PyTorch to predict personality types from social media post captions