Data Analyst Power Bi
Resume:
Hayden Kim
***********@*****.***
Gaithersburg, Maryland 20879
Objective
Recent graduate with 1.5 years of data analyst experience, strong leadership background, and hands-on project management skills. Eager to contribute to modern data infrastructure through analytics, cloud migration, and AI-driven solutions in a collaborative, mission-driven environment. Education
University of Maryland College Park 2020-2024
Bachelor of Science in Information Science
Work Experience
Data Analyst Intern, Government Acquisitions, Inc. March 2023 – Current Developed business data visualizations from scratch using DAX, Power BI and Power Query, Business Central (BC), Salesforce (SFDC) for complex descriptive analytics, forecasting, budgets, complex drillthrough scenarios, CA, Row-level security (RLS) model, consumption model, performance optimization.
Project Manager, Capstone Project, University of Maryland September 2024 – December 2024 Led a five-member team in the complete migration of a nonprofit organization's data from Google Drive to OneDrive. This effort required detailed planning, file reorganization, and data cleanup to ensure a seamless transition and long-term operational improvement. House Manager, Phi Kappa Tau Fraternity, University of Maryland November 2022 – November 2023 Served as House Manager and Executive Board Member for Phi Kappa Tau. I oversaw the maintenance and daily operations of a 28-resident house, including food plan coordination and work order submission. I also contributed to managing scholarships, service events, and social programming while maintaining a safe and respectful living environment through conflict resolution and leadership. Key Strengths
Programming: Can read, debug, version, manage arbitrary languages from broad experience. Can learn languages with ease.
Data Analyst: Experienced in enterprise business analytics design, architecture, scoping, Power BI, and Snowflake.
Leadership: Demonstrated leadership in cross-functional teams, both academic and organizational. Language, Development, Software, Skills key: strong medium developing Python, Jupyter Notebook, SQL, DAX, Power Query, C++, Power BI, NVIDIA, Pandas, Snowflake, SEO, R, HTML, CSS, some JavaScript.
OEM Certifications
NVIDIA AI Enterprise (2024): Knowledge and understanding of how to navigate and utilize NVIDIA’s AI Enterprise platform
NVIDIA Omniverse (2024): Knowledge and understanding of NVIDIA’s Omniverse NVIDIA DGX Cloud Curriculum (2025): Familiarization with NVIDIA’s DGX Cloud platform and capabilities NVIDIA Generative AI – Technical AI Advisor Curriculum: Understanding of NVIDIA’s AI solutions and products to advise on
Hayden Kim
Introduction to Modern Data Engineering with Snowflake: Hands on experience with using Snowflake’s platform to perform Data Engineering and Analysis. Activities & Involvement
College: Phi Kappa Tau Fraternity, House Manager and Executive Board Member (2022-23) High School: Ice Hockey, Lacrosse
Community: Training to coach youth club hockey teams, volunteer service for the residents of College Park, Maryland.
Special Interests
Data Visualization and Analytics, Volunteer Work, Leadership, Programming, Data Analysis, Business Process Analytics, D.C. Sports, NHL, Exercising, Weightlifting, Guitar, Music Special Goals & Narratives
My long-term goal is to work at the intersection of data science and artificial intelligence, building solutions that help organizations make informed, ethical, and impactful decisions. I’m especially interested in roles that combine technical analysis with strategic planning, and I’m drawn to environments where innovation, responsibility, and collaboration are core values. My leadership experience as a House Manager and my work on real-world data migration projects have taught me how to navigate complexity, lead teams, and deliver meaningful results — lessons I plan to carry forward into a data science or AI-focused career.
I aim to grow into a role that allows me to design data infrastructure and contribute to projects with long-term societal or organizational values.
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