Summary
Detail-oriented data science intern skilled in Python, SQL, and data analysis. Experienced in identifying trends in large datasets and presenting findings to team members. Eager to apply analytical thinking and problem-solving skills in a collaborative environment.
Experience
- Analyzed 50,000+ patient records using Python and SQL to identify cost-saving patterns, supporting a 12% reduction in projected expenses.
- Developed and maintained actuarial projection models, improving forecast accuracy by 15%.
- Created charts and exhibits in Excel to present findings to senior leadership, leading to adoption of two new pricing strategies.
- Collaborated with a team of 4 to collect and compile statistical data for analysis, streamlining the process by 20%.
Education
Projects
Courses
- Actuarial Exam, Society of Actuaries