Michael Shealy Email & Phone Number

New York, Ny, Us

Washington, District Of Columbia, United States

As the Senior Manager - Data Science at Monumental Sports & Entertainment, I led data-driven initiatives across business operations departments for the NHL's Washington Capitals, NBA's Washington Wizards, WNBA's Washington Mystics, and other events hosted at Capital One Arena. This included adding/managing data sources to the data warehouse, building/deploying machine learning models, and developing revenue generating business strategies as a result of my end-to-end data science projects.- Created an automated AI dynamic ticket pricing process for all basketball/hockey events, doubling incremental revenue and finishing with more than 2x pricing activity than any other NBA and NHL teams.- Led a multi-million dollar broker portfolio implementation to sell and exchange allotted ticket inventory, including organizing additional spend opportunities for all Monumental franchises.- Generated ticket pricing strategies for debut premium arena spaces, coordinating with sales executives of multiple franchises to drive long-term growth for the most valuable season ticket base in Capital One Arena.

Washington, District Of Columbia, United States

As the Manager - Data Science at Monumental Sports & Entertainment, I took over and expanded upon the data science and analytics infrastructure within business operations. This included pricing season tickets, partial season plans, and individual game tickets for the Washington Capitals and Washington Wizards, building machine learning models to improve sales representative contact efficiency, ensuring data timeliness and accuracy through Extract, Transform, Load (ETL) tools, and building dashboards for revenue forecasts and ticket sales projections for a variety of audiences.- Constructed customer retention modeling systems to predict potential churn of season ticket base, allowing sales representatives more time to contact at-risk accounts representing 60%+ of MSE ticket revenue.- Led a team to standardize ticket sales forecasts across multiple seasons to analyze impact of promotional giveaways and post-game concert series.- Priced all ticket plans and games in 2022-23 season to increase ticket on-sale day revenue by 33%.- Designed revenue reporting dashboards and presented biweekly updates to 250-person all-staff meetings.

Under MSJ Analytics LLC, I was a self-employed Machine Learning Consultant certified in SAS Visual Analytics (VA) and SAS Visual Data Mining and Machine Learning (VDMML).I partnered with Cached Consulting LLC, a SAS System Architecture specialist, to complete Data Science contracts using SAS Viya products, such as setting up initial machine learning/data visualization projects, teaching Business Intelligence teams how to use VA and VDMML, and providing client advice on post-contract analytics practices.- Led a team of 12 client employees for a county government contract in overhauling legacy information systems to custom SAS reporting processes.- Constructed an end-to-end API data collection process for environmental transportation statistics, allowing client to build dashboards promoting eco-friendly initiatives.- Presented to multiple Business Intelligence/Data Science teams on how to use SAS Viya products to create AI pipelines and sophisticated dashboards to enhance data-driven decision-making.- Built a machine learning pipeline to predict successful drilling zones in well paths for an oil & gas client, automating a previously manual process and minimizing wasted operational costs.

Augusta, Georgia

As a Chemical Engineering Co-op at Nutrien's Augusta site, I developed problem-solving skills and gained exposure to collaboration with engineering teams at the world's third largest nitrogen-producing company, with a focus on nitrogen-based fertilizer products.- Performed economic analysis on catalyst bids to determine most cost-effective choice, resulting in $250,000 in savings.- Coordinated vendor management to execute plant trials, collecting data for future business decisions.- Designed and analyzed a new heat exchanger unit to save up to $1,000,000 annually of lost cooling water.- Reconstructed thermocouple modeling systems in a shift convertor, creating more accurate data collection processes on catalyst use over time.

Master Of Business Administration - Mba

Bachelor Of Science - Bs, Chemical And Biomolecular Engineering

Chemical and Biomolecular Engineering major with a Computer Science concentration in Computational Data Analysis