•Analyzed telemetric data from GPS, accelerometers, and other sensors to develop a driver scoring model to improve safety and reduce liability exposure for a fleet of 4000+ vehicles.•Created risk-based model to apportion Auto and Work Comp insurance premiums across 143 rental markets•Designed a suite of visually engaging and interactive dashboards that improved data accessibility and facilitated decision-making for both cross-functional teams and role-specific users•Provided key insights and data-driven recommendations to c-level executives and departmental directors in Insurance/Risk, Accounts Receivable, Marketing, and Human Resources•Mentored and trained interns in data analysis tools and techniques

•Led a team of three analysts working on our Logistics Engineering product, a big data product bringing in over $13M in annual revenue.•Led the merging of data and SOPs from legacy system during a merger, including data for over 230 clients•Analyzed throughput data to track team productivity, establish SLAs, identify and improve process weak points, and forecast scalability•Collaborated with cross-functional teams to design and implement data governance policies, ensuring data accuracy and consistency•Successfully coached junior analysts on SQL and Python programming languages to improve their data analysis and modeling skills, resulting in more accurate and efficient data-driven decisions.

•Analyzed user behavior and usage to provide actionable insights to the product team, informing feature development and product enhancements for a logistics intelligence SaaS platform.•Identified trends and patterns in customer data to support strategic planning and product roadmapping, enhancing our competitive edge. •Leveraged data from Pendo to compare engagement, conversion rates, and user retention between test groups, providing actionable insights for product optimization. •Led the development of a comprehensive set of metrics and automated reporting processes that transformed a previously time-consuming and error-prone monthly data review process into a streamlined and efficient operation, reducing the review timeline by 75% and minimizing errors•Helped our data science team to QA new tools and productionalize their insights to deliver value to the clients. Key wins: •Genetic algorithm to optimize distribution center placement •Time in transit analysis and service type optimization