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)
Skills
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