Portrait of Kenneth Wu

Kenneth Wu

Data Analyst · Informatics student at UW

From Indonesia, based in Seattle.

View resume ↗Email me ↗

About me

I’m an international student from Indonesia studying Informatics with a focus on Data Science at the University of Washington. I have experience as a data analyst across sales, sports analytics, and database management. I’m now looking for full-time jobs in data.

Education

University of Washington

B.S. Informatics · Data Science

Expected Jun 20273.91 GPA

Bellevue College

Associate in Art and Sciences

Jun 2025

Tools I work with

Languages
Python, SQL, R, Java, JavaScript
Analysis
pandas, NumPy, Matplotlib, Power BI, Tableau
Development
React, HTML/CSS, Git, VS Code, BigQuery

Experience

Data Analyst Intern

Rise Above Sports Group

March 2026 — June 2026

  • Python
  • pandas
  • React
  • Firebase / Firestore
Rise Above Sports Group staff portal showing player records, NCAA teams, conferences, shared watchlists, and scoring leadersView full size ↗
18,000+player records
1,071teams
98conferences

What I built

Python and pandas pipelines to collect, clean, and standardize Division I–III player data. A validated ETL workflow handled duplicate prevention, batched database writes, and optimized indexes in Firebase / Firestore.

On the front end, I built a React staff portal with Google authentication, role-based access, statistical filters, and shared watchlists for evaluating prospective athletes.

Data workflow

  1. Player recordsNCAA Division I–III
  2. Python / pandasClean & standardize
  3. FirestoreValidate & store
  4. React portalFilter & evaluate

Data Analyst (Project)

University of Washington Women’s Basketball

November 2025 — December 2025

  • Python
  • pandas
  • Google Sheets

I tagged and categorized 200+ plays by execution quality and error type, building play-level performance datasets for 12 players.

University of Washington women’s basketball dashboard showing rebounding effort, player execution rates, and roster breakdown for a game against UtahView full size ↗

Built a Python and pandas pipeline connected to Google Sheets to automatically calculate player statistics, rankings, and team performance metrics.

Designed front-end dashboards to visualize player and team metrics, built to help coaching staff spot performance trends.

Data Analyst Assistant

Bogor Accessories

June 2021 — July 2022

  • Google Sheets

I cleaned, organized, and summarized sales and inventory data in Google Sheets using SUMIF, VLOOKUP, and pivot tables.

I identified sales trends and high-demand products to support inventory planning and restocking decisions.

Projects

PERSONAL PROJECT · DATA ANALYSIS

AI jobs & LLM releases

  • R
  • tidyverse

An exploration of how LLM releases, AI job demand, and salary patterns relate across 2020–2024.

I cleaned two Kaggle datasets in R using tidyverse: handling missing values, standardizing job titles, extracting release years, and converting model parameter fields into numeric formats. Summary tables, time series, bar charts, and salary visualizations supported comparisons across the two datasets.

PERSONAL PROJECT · ESPORTS ANALYTICS

How to Win a Draft in Mobile Legends

  • Python
  • SQL
  • SQLite
  • Power BI

Exploring hero priority, pick win rates, and hero pair performance across three professional MLBB tournaments.

I built a Python pipeline with validation checks to test 492 professional game records and load 490 accepted games into a normalized SQLite database. SQL queries explored hero priority, win rates, and hero pairs, revealing that the most-picked hero in MPL Indonesia S18 won 44.8% of its 87 appearances.

I developed an interactive Power BI report comparing hero priority, pick win rates, and hero pair win rates across three tournaments, with sample-size filters and documented data limitations.

Contact

Let’s get in touch.

For opportunities in data analytics, data science, or a project you’d like to discuss, you can reach me here.

LinkedIn ↗GitHub ↗Download resume ↓