Aisha Benali
BA Economics, May 2026 | Analyst Candidate
Providence, RIaisha.benali@example.com(401) 555-0124Summary
Economics graduate (May 2026) with an insurance analytics internship, two years as a department research assistant and strong Excel, SQL and R skills. Currently working part time in retail while completing a data analytics certificate and applying for analyst roles in insurance, banking and public policy. Available to start immediately.
Experience
Bookseller (part time), Hope Street Bookshop
– Present
Providence, RI
- Work 24 hours a week on the floor and the register while job searching; handle special orders and the weekly inventory count.
- Built a spreadsheet that compares weekly sales to the publisher order calendar; the owner now uses it to size reorders and cut two overstock titles a month.
Underwriting Analytics Intern, Ocean State Mutual Insurance
–
Warwick, RI
- Pulled and cleaned five years of small-commercial policy data in SQL to build a loss-ratio dashboard by class code that the underwriting team reviewed monthly after the internship.
- Tested whether building age predicted water-damage claims in a sample of 12,000 policies and presented the result, with a recommended rating question, to the chief underwriter.
- Documented the data pull so the next intern could reproduce it, a step the team had skipped the two previous summers.
Research Assistant, Department of Economics, Pawtuxet State University
–
Providence, RI
- Assembled a county-level panel of housing permits and employment for a faculty paper on zoning reform, matching 3,100 county-years across four public sources.
- Ran fixed-effects regressions in R and produced the tables and figures in the working paper's appendix.
- Trained the two research assistants who replaced me and left a documented codebase.
Education
Bachelor of Arts in Economics, minor in Statistics
Pawtuxet State University, Providence, RI
GPA 3.7, dean's list six semesters. Senior thesis on rent stabilization and new construction, awarded the department's thesis prize. Courses: Econometrics, Applied Regression, Database Systems, Risk and Insurance.
Skills
- Excel (pivot tables, lookups, Power Query)
- SQL (joins, window functions)
- R (tidyverse, fixed effects)
- Python basics (pandas)
- Tableau
- Regression and hypothesis testing
- Data cleaning and documentation
- Report and memo writing
- Presenting to non-technical audiences
- French (fluent)
- Arabic (conversational)
Certifications
- Data Analytics Professional Certificate (in progress, expected December 2026), Online learning platform,