About me

As a third-year Data Visualization student at the University of Washington, I am passionate about transforming complex datasets into clear, actionable insights. I have a strong technical foundation in Python for data analysis and SQL for data querying, complemented by experience in software development with Java and containerization using Docker. I am actively seeking a Summer 2026 internship where I can apply my skills in dashboarding, data storytelling, and business-centric design.

What I Do

  • Data Visualization Icon

    Data Analysis & Visualization

    I translate raw data into clear narratives using tools like Python, SQL, and Tableau to build insightful dashboards.

  • Machine Learning Icon

    Predictive Analytics

    I build models from core principles, demonstrating a fundamental understanding of machine learning and its mathematical foundations.

  • KPI Icon

    KPI Analysis & Optimization

    I analyze key performance indicators to drive efficiency, control costs, and improve customer satisfaction.

  • User Experience Icon

    User Experience (UX) Design

    I apply principles of user-centric design to create intuitive, accessible, and impactful data visualizations and dashboards.

Core Competencies

  • Analysis Icon

    Business Analysis

    I leverage data to drive business results, from optimizing costs at MOD Pizza to exceeding B2B conversion metrics by identifying high-value leads at Apple.

  • User Icon

    User-Centric Insights

    My user-centric focus resulted in a 99% satisfaction rating at Apple and allowed me to provide tailored mentorship to first-year university students.

  • Predictive Analytics Icon

    Dashboarding

    I create business-facing dashboards, using tools like Tableau to transform complex data into actionable insights. I build intuitive visualizations that tell stories with data.

  • Tech Icon

    Technical Foundation

    My work is built on a strong foundation of Python, SQL, and Java, complemented by modern development tools like Docker to tackle complex data challenges.

Resume

Education

  1. University of Washington Bothell

    2023 — Present

    Pursuing a Bachelor of Science in Data Visualization. Coursework emphasizes the end-to-end data lifecycle, including building predictive models from first principles, implementing underlying linear algebra, and evaluating performance based on metrics like SSR and RMSE.

Experience

  1. Peer Coach - Orientation & Transition Program

    March 2025 — Present

    Managed a cohort of over 30 first-year students, guiding them through their university transition by performing individualized needs assessments and developing personalized success plans. Conducted monthly one-on-one sessions to track progress against established goals and facilitate resource navigation.

  2. Sales Associate at Apple

    July 2024 — January 2025

    Performed in-depth customer needs analysis to deliver tailored product solutions and optimize the end-to-end customer journey. Identified and qualified an average of 5 B2B client opportunities weekly, exceeding targets by 400%, and contributed to a 99% positive customer satisfaction rating.

  3. Shift Manager at MOD Pizza

    November 2021 — May 2024

    Managed and optimized shifts daily by analyzing key performance metrics such as sales data, inventory levels, and labor cost percentage. This data-driven approach was crucial in consistently maintaining a lean labor cost under the 20% company target while simultaneously achieving a 4.7+ star average customer satisfaction rating.

Language & Tool Proficiency

  • Python (Pandas, Scikit-learn)
    90%
  • SQL (PostgreSQL)
    85%
  • Tableau
    90%
  • Java & Docker
    75%

Projects

JacketGAN Case Study

Python

A Generative Adversarial Network (GAN) trained to automate the creation of high-resolution j-card jacket designs for game cases.

Commentary

JacketGAN is a deep learning pipeline built to automate the translation of 3-panel Nintendo 3DS game covers into j-card formats. The project leverages a Pix2Pix conditional GAN to address a monotonous and labor-intensive design task, reducing a process that typically takes 20–45 minutes per cover into an automated workflow.


The end-to-end ETL process involved scraping an initial dataset of 157 high-quality scans, using a custom semi-automated segmentation tool built with OpenCV, and training eight specialized sub-models on Google Colab Pro with A100 GPUs. The project underscores the principle that robust data preparation is often more critical than complex architectural changes in machine learning.

PyDualSense-MotionToKey

Python

Control your keyboard and mouse using the motion sensors of a PlayStation 5 DualSense controller.

Commentary

PyDualSense-MotionToKey is a Python application designed to remap motion data from a Sony DualSense controller’s gyroscope and accelerometer. Engineered with a feature-rich GUI, the software uses the SDL2-GameController library to translate raw sensor data into practical, user-defined triggers.


At its core, the application allows users to create, save, and load custom script actions that are executed by controller movements. This framework can map a flick of the controller to media controls or assign sharp gestures to complex macros, transforming the peripheral from a gaming device into an effective tool for syncing motion to desired actions.

2025 Job Market Tableau Dashboard

Tableau

A comprehensive Tableau dashboard analyzing the 2025 job market for data-related roles, using a dataset from Kaggle.

Commentary

This end-to-end project involved developing a business-facing dashboard to analyze the modern job market. Starting with a Kaggle dataset of ~60,000 job postings, the data was cleaned and processed using Python (Pandas), PostgreSQL, and Excel.


The resulting multi-sheet Tableau dashboard translates over 3,000 relevant roles into actionable insights, visualizing hiring trends, geographic hotspots, and degree requirements. Users can filter by state, education, and skill importance to identify critical competencies, strategically empowering them to improve their resumes with high-impact keywords.