About

Disney Leadership | Magical Insights | Data-Driven Storytelling

Skilled Computer and Data Scientist with a passion for leveraging Data, Machine Learning, Automation (Algorithms), and Visualizations to solve complex problems, streamline processes, create data-driven solutions, and deliver actionable insights.

M.S. Data Science | B.S. Computer Science


A little about me:

• Family • Friends • Theme Parks • Haunted Houses
• Movies • Summer • Space • Basketball • Football
• Marvel • Starwars • Disney
• Karate - I'm a black belt
• Computer Science - I like to think of myself as Iron Man... in progress
• Gaming

Experience

Senior Workforce Strategy Analyst – Disney, May 2024 - Current
• Led a cross-functional team to onboard a new scheduling system, which included overseeing system learning, testing, and training development.
• Led collaborative meetings with operational and senior leaders to address frontline cast member needs, identify challenges, and discuss solutions.
• Designed and implemented an early release process for the new scheduling system, resulting in labor cost savings of millions annually.
• Planned, developed, and maintained end-to-end data pipelines to enable day-one operational reporting for the new scheduling system.
• Automated manual processes to streamline workflows and improve operational efficiency.
• Developed automated reports for key performance indicators, enhancing data visibility and decision-making.
Technologies: Python, SQL, Smartsheet, Excel, Tableau, PowerBI, R

Workforce Forecasting Analyst – Disney, December 2023 - May 2024
• Developed, sustained, and optimized data pipelines for operational and reporting purposes.
• Streamlined workflows by automating manual processes, improving overall efficiency.
• Designed and implemented automated reporting systems for key performance indicators, enhancing data accessibility.
• Utilized and enhanced a machine learning model to predict weekly Disney Central call volumes.
• Presented insights and recommendations to senior leaders and directors in bi-weekly meetings.
Technologies: Python, R, Tableau, SQL, Excel, PowerBI

Labor Systems Data Analytics & Integration Internship – Disney, Summer/Fall 2023
• Developed day-one reporting solutions for the deployment of a new scheduling system.
• Engaged with clients daily to gather and clarify reporting requirements.
• Managed multiple reporting projects simultaneously, delivering customized reports while balancing client expectations and requests efficiently.
• Reports were used by leaders in park operations for a multitude of purposes including shift trades, efficiency training, and more.
• Worked with data for over $1 billion in labor costs a year and 130,000 cast members worldwide including Walt Disney World, Disney Land Resort, and Disney Land Paris.
Technologies: Python, SQL, BusinessObjects, SAP, Tableau, SSMS, Microstrategy

Business Intelligence Engineer Internship – Buckle, Spring 2023
• Developed a utility library of reusable methods to enhance long-term coding efficiency.
• Created scalable methods designed for continuous use in future projects.
• Executed rigorous unit testing to ensure optimal performance and functionality before deployment.
• Built an automated pipeline to extract methods from Databricks notebooks, organize them in the datalake, and create a wheel for seamless installation to a Databricks cluster upon passing unit tests.
• Deployed the utility library into production using the automated pipeline, ensuring future versions and deployments are smooth and reliable.
Technologies: Python, SQL, Azure Data Ecosystem, Spark, API

Data Analytic Engineer Internship - Kiewit, Summer 2022
• Handled data across HR, Safety, and Procurement, managing sensitive and high-value information.
• Implemented automated nightly data health checks on critical database objects, storing results for future analysis and reporting using Python and SQL.
• Developed dashboards and reports in PowerBI to present insights to executive officers and shareholders.
• Led end-to-end data lifecycles, from identifying business needs to deploying production-level code across multiple projects.
Technologies: Python, SQL, PowerBI, Excel, Teradata (EDW), SSMS (ODS)

Soft skills

• Curiosity • Understanding Context • Technical Mindset
• Communication • Self-Motivation • Leadership • Teamwork • Problem Solving

Technology Skills - At a glance

• Database Systems • SQL • Python • Data Analysis • Pandas
• NumPy • Data Visualization • Tableau • PowerBI • Matplotlib
• Seaborn • Plotly • Cufflinks • Data Cleaning • Data Structures
• Database Modeling Pyspark • Java • JavaScript • Algorithms
• Digital Forensics • HTML • CSS • Scikit-Learn • Machine Learning
• Azure Data Stack • Microsoft Suites • Agile Methodology • OOP

Education

Masters of Data Science - 3.98 GPA, May 2025
• Dean’s List Recipient x5
Organizations:
• Omega Nu Lambda - National Honor Society for Online Students

Bachelor of Computer Science - 3.82 GPA, May 2023
• Minor in Criminal Justice – University of Nebraska Kearney
• Graduated Magna Cum Laude Distinction
• Dean’s List Recipient x8
Organizations:
• Men’s Leadership Project
• Office of Diversity and Inclusion
• Phi Eta Sigma: Freshman Honor Society
• Epsilon Pi Tau: Technology Honor Society
• Alpha Phi Sigma: Criminal Justice Honor Society

Independant Coursework:
• Python for Data Science Certificate – SoloLearn
• Python for Data Science and Machine Learning Certificate - Udemy
• The Complete 2021 Web Development Bootcamp Certificate - Udemy
• Computer Forensics Fundamental & Intermediate Course Certificates – Udemy
• Autopsy Basics and Hands On Certificate – Basis Technology
Java, HTML, CSS, SQL Course Certificates – SoloLearn

Projects

Here are a few projects that I've poured countless hours into and have managed to not feel entirely embarrassed about. I figure they're good enough to show off to the world... or at least to anyone who cares to look.

This algorithm, powered by Python and machine learning supercharges social media analysis, combining automated data collection, advanced language processing, and interactive visualizations. It enables users to decode Twitter discourse and spot patterns effortlessly.


Click here for more information on github.


Video Game Music Player

This code allows you to enjoy your two favorite things, music and video games, without having to tradeoff in game performance. Listen to your favorite songs through Spotify but also be able to hear footsteps and gunshots in your favorite FPS game.




Predictive Analytics: Forecasting Player Engagement

This project focuses on analyzing user activity data to uncover trends, predict future engagement, and provide actionable insights for stakeholders. By leveraging data-driven strategies, it empowers decision-makers to improve player retention, optimize server capacity, and plan marketing initiatives like timely content drops. Through identifying key trends and understanding drivers of player activity, the project builds predictive models to forecast engagement, helping gaming companies allocate resources efficiently and enhance user experiences.


Dungeons And Dragons

Use the power of LLM's and ChatGPT to play single player Dungeons and Dragons. Choose the universe you want to play in and let your imagination run wild. This code handles all of the pitfalls of using ChatGPT as a dungeon master such as, forgetting earlier events (token limits), handling combat, and introducing skill checks.


Library of Babel (Jaylen Approach)

   - Illusioned Complexity, Streamlined Simplicity

An overly simplified take on the library of babel algorithm. Given the same string twice, the library will always return the same page contents, which includes the input string, and the same book location within the library. This library contains every English string ever. Every story ever told or still yet to be told. Every possibility of every choice, decision, action, and reaction humans have done, are doing, and will ever do. Dive into the vast, never ending, infinite world of the Library of Babel.

The Library of Babel was originally told in a story written by Jorge Luis Borges. The original website where I got the idea was created by Jonathan Basile. Original website url: http://libraryofbabel.info/


Photography Database

Utilizes SQL and Database Technologies to create a fully functional database for a photography business that allows data entry and modification all designed from an ERD using relational Database.


Nerf War Administrator

Utilizes Java and OOP to act as an administrator of a nerf war game my family plays throughout the holiday season by using ASCII encryption for easy decryption for those playing.


Statistics

*Don't* use this on stats homework:
In this code you can upload a csv file of data and it will print out the Mean, Median, Mode, Range, Midrange, Sample Variance, Population Variance, Sample Standard Deviation, Population Standard Deviavtion, Range Rule of Thumb, Sample Coefficient of Variation, and the Population Coefficient of Variation of the data set.


Fractals

A piece of art, a study of life and its meaning. How can such a simple algorithm create something so complex and infinite? Is this the key to fully understanding our universe and the meaning of life. These are all questions fractals make me ponder and I don't have an answer for, but a question nonetheless.




Lego Mosaic

Utilizes blender to create a lego mosaic of the friendly neighborhood spiderman.




Find all my projects here

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