As a Product Analyst Intern at Plymouth Rock Assurance, I have been involved in key projects focused on optimizing home insurance products and improving internal reporting systems. My primary responsibilities include analyzing our home sharing insurance offerings (such as those tailored for Airbnb hosts) and comparing them with competitors to identify potential gaps and improvements. This work involves deep analysis using industry tools like the SPGlobal website and a review of policy documents and SQL tables to align our products with current market demands.I have also contributed to the enhancement of the ITV Monitoring Report Tableau workbook. This project focuses on improving the visualization and clarity of data related to policy coverage sufficiency, ensuring that our insurance-to-value assessments are accurate and actionable.In this role, I utilize tools like SQL, Tableau, and Python to conduct in-depth research and data analysis, while working closely with the Property Product team. My goal is to deliver impactful insights and solutions that contribute to the profitability and effectiveness of Plymouth Rock’s home insurance products.

Led comprehensive health research on Alzheimer's disease, employing advanced statistical methods such as Penalized Multinomial Regression and Transfer Learning with R and Python.Analyzed the NACC dataset to uncover significant trends, identifying patterns that contributed to the advancement of understanding in Alzheimer's research.Influenced future medical research and treatment strategies by providing insightful findings, showcasing the potential impact of data-driven approaches in healthcare.

Spearheaded the Fresh 2.0 Project, conducting in-depth data research and analysis that led to a 15% reduction in logistics errors, significantly improving supply chain efficiency.Awarded the "Pacesetter" award for exceptional performance, recognizing my ability to drive impactful results through data analysis and strategic insights.Optimized distribution patterns by providing actionable insights, which enhanced overall supply chain operations and contributed to a more efficient distribution process.

Developed and optimized SQL queries, reducing report generation time by 40% and enhancing data retrieval accuracy, which improved decision-making processes.Provided comprehensive data insights, driving process optimizations that resulted in increased operational efficiency and effectiveness across multiple projects.Led multiple projects employing HTML, SQL, and Python, enhancing data analysis capabilities and modernizing the company's web presence, contributing to improved data accessibility and usability.