I was a Division 1 Lacrosse Player and Team Captain at Loyola University of Maryland, where I thrived on and off the field. During my tenure at Loyola, I pursued an Applied Mathematics degree with minors in Data Science and French, dedicating myself passionately to academic excellence. Additionally, I was honored to be chosen by my peers to serve as a SAAC member, collaborating across teams and with coaches to champion mental health and athletic support initiatives. Fluent in French, I consistently achieved Dean's List status as a Student-Athlete throughout my academic career at Loyola. Translating this academic experience into professional aspirations, I have internship experience at Lucid Motors as a Data Engineer & Business Intelligence Intern which allowed me to apply my skills in generating actionable insights for the company (see detailed description below). This summer, I expanded my knowledge as a part of Apple's Retail Store Analytics team as a Data/Decision Science intern, reinforcing my commitment to use data as the superpower that it is. From August 2024 to May 2025, I will pursue my Master’s of Engineering in Operations Research & Information Engineering at Cornell Tech, Cornell University's graduate school in New York City.
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Retail Store Data & Decision Science InternApple Jun 2024 - Aug 2024Cupertino, California, United StatesStore Segmentation: Spearheaded a novel machine learning project to develop sophisticated store segments for Apple Retail, empowering leadership to more accurately address store performance and predict the performance of stores based on the attributes of similar locations clustered in the model.Data Wrangling: Orchestrated the unification of data sources from multiple Apple Retail teams to architect and develop a comprehensive master dataset that streamlined analytics processes for clustering, feature engineering, and exploratory methods. Performance Enhancement: Reinvented Apple Retail's analytical capabilities by developing a suite of intuitive Tableau dashboards that integrated SQL and Python code to deliver a robust initiative focused on comparing individual store performance metrics for the Store Trends Report, provide Apple Retail leadership with swift access to multidimensional, data-driven insights to inform strategic decision-making for targeted improvements, enhanced operational efficiency, and revenue growth. -
Business Intelligence InternLucid Motors Jun 2022 - Aug 2022Newark, California, United StatesTeam Lead: Directly managed a data governance project with data engineers and data scientists thatnumerically scored car signals and significantly improved the data privacy for Lucid Air owners.Data Mining: Utilized Amazon RedShift and SAP Data Services to compile bi-weekly engineeringreports that ameliorated access for international peer stakeholders to navigate internal assignments.Development: Created custom Tableau dashboards and wrote SQL queries to craft production-readyreports that made product performance analysis for digital data teams more efficient and effective.
Alex Bean Education Details
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Operations Research & Information Engineering -
Operations Research & Information Engineering -
Applied Mathematics
Frequently Asked Questions about Alex Bean
What is Alex Bean's role at the current company?
Alex Bean's current role is ORIE Student @ Cornell Tech | Loyola University of Maryland Lacrosse Alum.
What schools did Alex Bean attend?
Alex Bean attended Cornell Tech, Cornell University, Loyola University Maryland, Sacred Heart Schools, Atherton, Silicon Valley International School.
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