Hi, I'm
Nyan Lin Aung
Data Science Student | Aspiring Data Analyst
I turn data into clear, actionable insights. I build with Python, SQL, and AWS, and I'm looking for a Data Analyst Internship.
About Me
Computer Science student focused on data analytics and machine learning.
Education
Bellevue College
BS, Computer Science (Data Science Emphasis), expected Aug 2028. Associate of Arts & Sciences (DTA), completed Aug 2026.
Woosong University, South Korea
AI & Big Data coursework. GPA: 3.82.
Focus
Data Science emphasis at Bellevue College, with hands-on experience in Python, SQL, and machine learning. I focus on turning data into clear, actionable insights.
What Drives Me
I like using data to solve real problems. At the ThinkCity 2026 hackathon, my team won the Community Impact Award for SkySAR, a prototype that simulates drone-swarm search coverage for missing-person rescue. I enjoy working in teams and building tools people can actually use.
Technical Skills
The tools I use for data analysis, machine learning, and building applications.
Languages
Analytics & Visualization
Data & Cloud
Tools
Projects
Selected work in data, machine learning, and cloud.
CS211 Self-Assessment Tool
A full-stack web app deployed on AWS that assesses student readiness across 8 Java topics. A scikit-learn decision tree recommends what each student should study, and an instructor dashboard shows class averages and topic mastery, filterable by quarter, session, and year.
SkySAR
Winner of the Community Impact Award at ThinkCity 2026, a one-day hackathon with 110 participants and 25 projects. Our team of 5 built a prototype that divides a search area into grids and simulates drone-swarm coverage to speed up missing-person rescue and reduce risk to human searchers. I built the Python backend, the Gemini Vision detection, and the real-time Streamlit dashboard.
Moodify
A full-stack app that scores the sentiment of free-text input with TextBlob, maps it to one of five moods, and returns a matching 10-track Spotify playlist with an embedded player. Each request's mood and polarity score is logged, without the user's text, for later analysis.