Eliot Bramble
@eliotbramble
Applied mathematics graduate skilled in data analysis and modeling.
United StatesWhat I'm looking for
I am an applied mathematics graduate with a strong foundation in statistical machine learning, multivariate data analysis, and financial mathematics. I have practical experience cleaning and modeling large datasets using Python, R, and SQL, and visualizing insights in Tableau and Power BI.
In internships I translated technical results into business impact, identifying a major lease-cost issue for supply chain executives and streamlining reporting workflows at a credit union. My academic projects include predictive models for flight delays and bike usage that emphasized interpretability and feature selection.
I am detail-oriented, creative, and committed to producing actionable, data-driven insights for stakeholders. I aim to join teams where I can apply rigorous quantitative methods to solve operational problems and drive measurable improvements.
Experience
Work history, roles, and key accomplishments
Supply Chain Data Analyst Intern
General Dynamics Information Technology
May 2024 - Aug 2024 (3 months)
Analyzed large supply-chain datasets using regression in R and SQL, created Tableau dashboards to communicate insights, and identified that 65% of vehicle leases rolled into month-to-month status, informing executive cost-saving decisions.
Operations Intern
cPort Credit Union
May 2023 - Aug 2023 (3 months)
Cleaned and classified large sensitive customer datasets to ensure regulatory compliance, investigated flagged commercial accounts for compliance managers, and streamlined reporting workflows by implementing advanced Excel formulas to reduce processing time.
Architectural Intern
Barba-Wheelock Architects
Sep 2020 - May 2021 (8 months)
Produced accurate site measurements and to-scale floor plans, assisted in constructing realistic 3D models, and communicated project updates to clients to drive satisfaction during residential and commercial redesigns.
Education
Degrees, certifications, and relevant coursework
AUAmerican University
Bachelor of Science, Applied Mathematics with Computer Science
Grade: 3.6 GPA
Activities and societies: Relevant coursework: Statistical Machine Learning; Simulation and Modeling; Financial Mathematics; Regression; Discrete Structures; Probability; Business Statistics; Intermediate Microeconomics; Money, Banking and Finance.
Bachelor of Science in Applied Mathematics with Computer Science anticipated May 2025 with a 3.6 GPA and multiple Dean's List recognitions.
UEUniversity of Edinburgh
Honours Mathematics
Activities and societies: Relevant coursework: Multivariate Data Analysis; Financial Mathematics; Honours Complex Variables; Resource Management.
Semester abroad in Honours Mathematics during Spring 2025 with coursework in multivariate data analysis and honours-level mathematics.
School of The New York Times
Gap Year / Continuing Education
2021 - 2021
Participated in a gap year student program in Spring 2021 focusing on journalism and related learning experiences.
Availability
Location
United StatesAuthorized to work in
Job categories
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