Hey, I'm
Aidan Nguyen
Statistics and Data Science @ UCLA
AI Engineering Intern @ Corsair
Hey, I'm
Statistics and Data Science @ UCLA
AI Engineering Intern @ Corsair
Get To Know More
Hello! I'm Aidan, a student at UCLA majoring in Statistics and Data Science, with a minor in Data Science Engineering. I hope to apply my background in statistics, machine learning, and data science to discover valuable insights and deliver impactful results. During my free time I love rock climbing, playing volleyball, and enjoying board games with friends.
University of California, Los Angeles
Bellarmine College Preparatory
Browse My Recent
Conducted website traffic analysis and A/B testing for Kickback, increasing conversion rates from 0.3% to 3% through data-driven optimization.
At DataFest 2025, I analyzed real estate data to provide key insights into the leasing market and presented my findings to the founders of Savills, achieving finalist.
Developed an optimization algorithm for Swarm Engineering to efficiently allocate workers to a farm to improve resource management and productivity.
Currently working with Zeitios on creating an AI agent chatbot aimed at teaching marketing to orphans in Nigeria through fullstack development and notably utilizing the OpenAI API.
Assessed the feasibility of transforming Direct Ocean Capture (DOC) carbon into raw materials for their apparel.
For DataFest 2024, I analyzed student website interaction data to improve a textbook platform and presented my findings to the founders of CourseKata and achieved finalist.
Currently working on a classification pipeline for bone marrow stroma cells from RNA sequencing data at the Signaling Systems Lab @ UCLA
Data Journalism article made for DataRes @ UCLA exploring what made a youtube video succeed through various metrics (titles, comments, thumbnails, views, and more).
A computer vision-powered occupancy detection system that identifies when a person enters a room through collision detection and YOLO.
Data Engineering project where I implemented a data pipeline and visualized COVID-19 data insights using Amazon Web Services and QuickSight
A machine learning project aimed at classifying galaxies into three main types using various models (KNNs, SVMs, and a convolutional neural network).
A rudimentary data visualization dashboard created using Tableau to analyze key metrics of major cities.
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