hackathon ghibli piano trailrunning hobbies

About Me

Data Scientist with expertise in machine learning, NLP, and data visualization. Skilled in Python, R, SQL, Tableau, and Power BI. I am passionate about helping organizations leverage data to drive strategy and improve performance. Outside of work, you’ll find me playing the piano, running trails, practicing yoga, or watching international films.

Core Values and Principles

Accuracy as a Foundation: Good insights come from good data. I focus on clean inputs, and well-documented processes.

Purposeful Questioning: I start with the right questions because, quoting Mark Twain, “Data is like garbage. You’d better know what you are going to do with it before you collect it.”

Analytical Exploration: I dedicate time to exploratory data analysis (EDA) because rushed conclusions seldom yield robust solutions.

Insightful Storytelling: I focus on solving real problems, not just visualizing them.

Skills

Python:
Skilled in data wrangling (Pandas), statistical modeling (SciPy), machine learning (Scikit-learn), NLP (NLTK), and deep learning (TensorFlow, PyTorch)
R:
Experienced in regression analysis and hypothesis testing with RStudio, delivering clear, actionable insights through tidyverse visualization and reporting
PowerBI & Tableau:
Expert storyteller in Tableau and PowerBI, crafting clear visuals that spotlight key insights through interactive dashboards
SQL:
Proficient in SQL queries with joins and aggregations for data retrieval, analysis, and reporting
Excel & Google Sheets:
Advanced with lookup functions, pivot tables, dynamic formulas, and dashboards to automate business tasks

Education

Master of Science
Utah State University; Data Analytics
Emphasis: Management Information Systems
Bachelor of Science
BYU–Idaho, Business Analytics
Minor: Economics

Projects

Text Summarization

Developed a Streamlit website using web-scraping and NLP techniques to summarize lengthy articles

Movie Maturity

Built an interactive movie similarity search engine using APIs, document clustering, and text summarization

Wordle Solver

Incorporated statistical analysis and pattern recognition to reduce average guesses by 1.5 per game

Experience

Volunteer & Leadership

USU Hackathon Judge

Evaluated innovative AI/ML solutions developed by student teams from multiple universities at the USU hackathon

For the Strength of Youth

Assistant Coordinator at FSY overseeing 10–14 counselors and 100+ youth weekly across three states

Alumni Fundraiser

Performed Liebestraum by Franz Liszt at a fundraiser for the annual Crawford Cup competition

Get in Touch

Want to work together? Connect on LinkedIn or explore my GitHub.