Yuta Banishky

Informatics @ UW · Data Science track

Yuta Banishky

Data Analyst

My passion is solving real-world problems with data and AI — not just building things that work in theory, but things that actually make people's lives a little easier. Mainly working in Python, SQL, pandas, Power BI, and Tableau.

Yuta Banishky
01

Work

Software & Product 13

Dubly — a husky-themed study buddy wired to UW Canvas

2026

Dubly

A husky-themed study buddy wired to your UW Canvas — chat to see what's due, ask about any syllabus, and generate quizzes, flashcards, and study plans.

  • Python
  • FastAPI
  • SQLite
  • Next.js
  • Claude API
  • Whisper
AI Debate Colosseum — language models arguing a topic round by round

2024

AI Debate Colosseum

Set a topic and watch two language models argue it out round by round, each responding to the other's last point.

  • LLMs
  • Python
  • Web
AI Poker Room — LLMs playing five-card draw against each other

2026

AI Poker Room

Watch OpenAI, Anthropic, Gemini, and Grok models play five-card draw against each other — live betting, bluffs, and showdowns, with each model's reasoning streamed in as it decides whether to hold, raise, or fold.

  • Next.js
  • TypeScript
  • Multi-LLM
AI Resume Analyzer — a Gradio app returning structured résumé feedback

2024

AI Resume Analyzer

Upload a résumé and get structured, section-by-section feedback back — a Gradio app running on the OpenAI API.

  • Python
  • Gradio
  • OpenAI API
AI CSV Data Analyzer — plain-English questions answered with generated charts

2025

AI CSV Data Analyzer

Upload a CSV, ask a question in plain English, and get the chart that answers it. Only column names leave your machine; the raw rows stay on-device.

  • Python
  • pandas
  • Gradio
  • OpenAI GPT-4o-mini
CineMate — a retro movie-theater themed recommendation app

2025

CineMate

A movie night decided for you, staged inside a retro cinema. Filter by genre, mood, and runtime, then let it channel-surf titles across the big screen.

  • Next.js
  • TypeScript
  • Azure SQL
  • Azure Blob Storage
  • Supabase Auth
  • TMDB API
Yutachess — real-time multiplayer chess

2025

Yutachess

Real-time multiplayer chess with room codes, time controls, and live rematches over WebSockets. Load-tested to 3,000 concurrent games with zero desyncs.

  • Node.js
  • Express
  • Socket.IO
  • chess.js
AdSnap — a phone camera turning a product into a finished commercial

2023

AdSnap

Point your phone at any product and about two minutes later you have a finished commercial — script, cinematic shots, slogans, voiceover, and music.

  • Mobile app
  • React Native
  • Azure AI
KitNations — World Cup 2026 national-team kit store

2022

KitNations

A Next.js e-commerce store for World Cup 2026 national-team kits from all 48 nations, with product browsing, cart and checkout, and worldwide shipping.

  • Next.js
  • React
  • E-commerce
recipe.AI — photographing a fridge to get dish suggestions

2023

recipe.AI

Photograph the inside of your fridge and Claude Vision reads the ingredients, then suggests dishes with cook times, nutrition, and full recipes.

  • Mobile app
  • React Native
  • Claude Vision
Hand Tennis — browser tennis controlled by webcam hand tracking

2022

Hand Tennis

Browser tennis you play with your hands — webcam hand-tracking moves the paddle, no controller needed.

  • Computer Vision
  • Hand Tracking
  • JavaScript
Zyde — a full-stack site designed, built, and tuned for search

2023

Zyde

A full-stack site I designed, built, and tuned for search — live at zyde.org.

  • Web Design
  • Full-stack
  • SEO
Where My Taxes Go — entering an income for Seattle, WA and seeing the total tax bill

2026

Where My Taxes Go

Pick a city and enter an income to see your federal, state, and local tax broken into the programmes it funded, with every number sourced.

  • Python
  • Data Pipeline
  • JavaScript
  • Open Data

Data & Analysis 4

Bar chart of median Seattle Priority 1 police response time by precinct, with North precinct above the 7-minute standard

Seattle 911 Response Times

Cleaned 43,773 Seattle 911 calls and found the North precinct missing the 7-minute Priority 1 standard, then modeled response times with 0.723 ROC AUC.

  • Python
  • pandas
  • scikit-learn
  • Logistic regression
  • Open Data
Line chart of average Seattle crash severity by hour of day, peaking in the early morning and evening commute

Seattle Traffic Collision Analysis

Analyzed 221,266 Seattle traffic collisions with a severity-weighted score, showing Burke-Gilman Trail cyclist crashes mattered more than raw counts suggested.

  • Python
  • pandas
  • Matplotlib
  • Open Data
Tableau dashboard showing Superstore retail profit turning negative above a 20% discount, alongside sales by month, profit by sub-category, and profit by state

Superstore Performance Dashboard

A five-view Tableau dashboard on 9,994 retail orders that shows profit flipping negative once discounts pass about 20%.

  • Tableau
  • Data Visualization
  • Retail Analytics
02

About

Hello! I'm Yuta, a B.S. Informatics student at the University of Washington on the Data Science track, expected to graduate in June 2028.

I'm drawn to the part of analysis that actually changes a decision. Volunteering at the University Food Bank, that meant working through distribution data to find which items kept running out — and cutting stockouts on them by 18%. Analyzing Seattle's traffic collisions, it meant weighting 221,266 records by how severe each crash was instead of just counting them, which surfaced a cyclist hotspot that raw crash counts had buried.

Before college I founded Bellevue Coding, a free weekly Python program for kids ages 8–14 at the Bellevue Library, and Wilburton Soccer, a youth training program I built and ran from scratch. I still build software — mostly tools that put data or AI in front of people — and most of it is live and linked below.

Currently I'm taking coursework in data programming and statistics at UW, and spending my own time getting sharper with SQL.

Tools I reach for

  • Python
  • SQL
  • pandas / Matplotlib
  • Power BI
  • Tableau
  • Excel
  • Statistical analysis
  • Next.js / React
03

Experience

Professional Experience

Sep 2026 – Present

Teaching Assistant · University of Washington, INFO 201

  • Lead a weekly lab section for INFO 201, UW's intro data programming course, teaching students to clean, analyze, and visualize real datasets.
  • Help students debug code and work through data wrangling, Git, and command line problems during lab and office hours.
  • Grade assignments and give written feedback to help students improve their code and analysis.
  • Work with the course instructors to support a large intro class each quarter.
  • Data wrangling
  • Git
  • Command line
  • Data visualization

Jan 2026 – Present

Data Analyst Intern · Seattle University Food Bank

  • Analyzed 340+ weekly orders in PostgreSQL to surface demand patterns, cutting stockouts 18% and overstock waste 12% in one quarter.
  • Built a logistic regression model in Python to forecast restocking by item category; deployed it as a REST API handling ~1,000 requests/day for 200+ households weekly.
  • Python
  • PostgreSQL
  • Logistic regression
  • REST API

Jan 2025 – Jun 2025

Founder & Instructor · Bellevue Coding

  • Founded and taught a free weekly Python program for ages 8–14 at the Bellevue Library, growing enrollment 133%.
  • Extended the curriculum to ML and analytics pipelines for ages 13–17.
  • Python
  • Machine learning
  • Analytics

Leadership & Activities

Sep 2025 – Present

Project Officer · UW Data Science Club

  • Led a 5-person team building a linear regression pipeline on 2,000+ cleaned HUD and Census records, finding an R2 of 0.72 between homelessness and income across greater Seattle, visualized in Tableau.
  • Python
  • Linear regression
  • Tableau
  • HUD / Census data

Mar 2025 – Present

Member · Machine Learning @ UW

  • Built a real-time sentiment pipeline for Reddit comment streams with Python and PRAW, fine-tuning DistilBERT and deploying via FastAPI on AWS EC2 with a Streamlit dashboard.
  • Python
  • PRAW
  • DistilBERT
  • FastAPI
  • AWS EC2
  • Streamlit
04

Résumé

Education

University of Washington

B.S. Informatics, Data Science Track

GPA 3.75 · Dean's List · Seattle, WA

Expected June 2028

  • Data Programming
  • Statistical Reasoning
  • Advanced Statistical Methods
  • Foundational Skills for Data Science

Achievements

  • Selected for the UW-IT Student Innovation Lab's Spring 2026 Community Showcase for Dubly; featured on the Lab's website and LinkedIn.
  • Earned the Microsoft Power BI Data Analyst Professional Certificate, 2026.
  • Earned the AWS Certified AI Practitioner and Anthropic AI Fluency certifications, 2026.
  • Founded two community organizations: Bellevue Coding and Wilburton Soccer.

Technical Skills

Languages
Python, SQL, JavaScript (ES6+), R
Data & Analytics
pandas, NumPy, Power BI, Tableau, Excel, DAX, A/B testing, logistic and linear regression, PostgreSQL, MySQL, SQLite
Tools
FastAPI, Node.js, Next.js, React, AWS, Git, GitHub Actions, Docker, Claude API, REST APIs

The one-page PDF Everything above plus the full experience and project write-ups, formatted for applications.

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Get in touch

I'm looking for data analyst internships. If you have one — or just want to talk about a dataset — my inbox is open.