• Partnered with Finance, Product, and Marketing to lead cross-functional analytics projects aimed towards sustainable growth, improving monthly profit margins by 40%• Collaborated with Data Engineering to streamline ETL pipelines in AWS Redshift to optimize database resources and reduce average table runtime by 50%Key Achievements:• Led a machine learning project building predictive models (random forests, logistic regressions) to investigate and predict patient churn, improving retention efforts by 15%• Collaborated with Product and Engineering teams to map out test parameters for a large scale experiment aimed at updating patient consent requirements while minimizing the impact on conversion rates

• Rebuilt the data team from the ground up, hiring and training analyst to provide analytical support across departments• Led an overhaul of the existing data model to improve database performance and enhance user experience• Leveraged machine learning and data mining techniques to guide business leaders on marketing strategies, operations policies, and industry trends• Developed a training program for incoming analysts and business users to improve data literacy across the organization and empower teams to become more data-drivenKey Achievements:• Performed comprehensive analysis on insurance claims data, identifying critical areas for improvement that resulted in a 20% reduction in insurance rejections, improving overall patient experience. • Performed exploratory and predictive analysis on order history data to uncover major factors influencing customer retention

•Revamped the dashboard and data delivery system in Looker, enhancing cross-departmental KPI monitoring, rectifying data integrity issues, and optimizing dashboard user experience•Developed custom dashboards and reports to provide real-time visibility into acquisition performance metrics and acquisition budget across marketing channels, empowering data-driven marketing decisions & CAC optimization• Enhanced the SQL transformation logic within the data model to seamlessly adapt to dynamic business requirements, successfully incorporating two new verticals and facilitating multiple product launches• Provided analytical insights to help business leaders across Product, Marketing, and Finance make data-driven decisionsKey Achievements:• Partnered with the Engineering team to test and implement innovative productivity metrics throughout the fulfillment cycle, boosting operational staffing model precision by 40%. Tool: Looker, SQL• Discovered a critical system bug leading to subscriber drop-off for a key product, and subsequently collaborated with the Engineering team to design and implement solutions, resulting in a 15% recovery of monthly revenue

• Developed weekly market reports dashboards to evaluate profitability of accounts and provide strategy recommendations. Tools: SQL, Kibana, Excel• Leveraged insights gained from data analysis to lead strategy meetings and streamline client communications to improve customer satisfactionKey Achievement:• Received “Analyst of the Month Award” in June 2018 and September 2019 for excellent client communication and account conversion rates

• Automatiq (Formerly Broker Genius) is an SaaS company offering industry-leading dynamic price automation technology for clients in the event ticket industry• Analyzed sales data from various ticket exchanges and databases (2+ million data points) to uncover industry trends and deliver data-driven pricing solutions that resulted in 15% average increased margins

• Assisted researchers on a longitudinal study to investigate factors influencing work relationships, job satisfaction, and retirement transitions in large corporations• Performed qualitative coding to streamline the processing of data collected from over 100 interviews• Analyzed and presented data patterns on how corporate structures impact work relationships within organizations, using NVivo qualitative analysis software