• Harness data-driven insights to shape talent strategies, working closely with executives and HR partners to drive smarter decision-making and better growth and pathways for our associates.• Utilized simulation techniques to craft a comprehensive 5-year campus recruiting strategy for product managers. Leveraged insights from 4 inaugural cohorts to identify opportunities in performance, attrition, and engagement, enhancing strategic decision-making.• Collaborated with the HR performance and talent management team to design, assess, and analyze 360-degree feedback surveys, enhancing data collection for managers' performance evaluations and fostering objectivity and fairness in the process.• Developed a novel ROI measurement framework specifically tailored to instructor-led learning and development courses to improve operational efficiency.• Evaluated and proposed actionable changes to the company-wide talent assessment system used by 50,000 employees and their managers, driving improvements in employee development program selection process.• Developed an executive-level Tableau dashboard for organizational talent health, facilitating KPI development and target setting.

• As part of a centralized Data Science team, enabled stakeholders ranging from executives to analysts through data analysis and visualization, statistical modeling, randomized controlled trial and quasi-experimental design, and mentoring.• Advanced the product experimentation program by evaluating the cost of a winning treatment by measuring its offline impact through survey and customer service data, estimating long-term retention through survival analysis, and introducing the propensity score method to mitigate selection biases in A/B tests.• Developed a cost optimization analysis for the supply chain team for a multi-year vendor contract decision to evaluate distribution center location scenarios and recommended top ranked options to the management team.• Built regression models in R to predict the frame fit using facial features and glasses measurements in order to assess the feasibility of using the 3D camera data for personalized recommendations.• Created a Python function to run parameterized SQL queries via Google BigQuery API to create a pipeline between customer orders database and a frame recommender system.

• Hired as the first analytics manager in the ecommerce division to define and develop measurement and reporting strategy, build out web analytics and A/B testing infrastructure and processes, evaluate and manage 3rd party vendors with a $200K annual budget, and facilitate internal training.• Served as the product analytics lead to help teams shape their roadmaps, develop measurement plans, provide UX insights during the design process, guide engineers with analytics implementation, analyze cross-device and cross-channel user funnels at large scale, and make product decisions with data.• Utilized statistical methods such as time series modeling, difference-in-difference estimation, and t-test in R to draw causal inference from natural experiments and help product teams make feature launch decisions when A/B testing was not feasible.• Prevented an interruption in product launch cycle during an external experimentation tool outage by building an automated A/B test report in R to query and validate events data in BigQuery, run a statistical significance test, and display results.• Led an initiative to create centralized ecommerce reporting in Looker and partnered with data engineers to develop data dictionary and hierarchy, data modeling approach, and end-user interface.• Developed a process for creating a product analytics roadmap by defining and negotiating analytics ownership across the product org, and creating a prioritization rubric, in order to maximize the impact the team.

• Led an employee resource group focused on cultural and ethnic diversity and inclusion by facilitating group discussions, acting as an advocate to HR and executive teams, and organizing external speakers, networking, and cultural events.

• Promoted to manage a team of two analysts to set team strategy and roadmap, partner with product managers to identify opportunities, and help team members scope and prioritize projects. Initially hired as the company’s very first web analyst, developed goals and success metrics for the website, delivered customer acquisition and conversion performance insights to the executive team, and implemented data collection best practices.• Supported executives, product managers, user experience designers, and technical managers to facilitate data-driven decision making and test-based optimization.• Identified and integrated disparate data sources such as visitor clickstreams, internal customer/transaction/inventory databases, 3rd party marketing tools, competitive intelligence, consumer demographics, user surveys, and a website session replay tool to generate holistics insights for the customer journey, identify bottlenecks, and propose solutions.• Developed a training program for analysts and business users outside of the web analytics team to improve operational efficiency across the company, while remaining as the center of excellence to provide strategic guidance.• Introduced and built A/B testing methodology, processes, and tools to integrate them into the feature development cycle.• Formulated a mobile analytics strategy for the new iOS app to develop mobile-centric KPIs and set up event tracking.• Served as a product manager for an in-house web analytics tool to gather requirements, produce technical specifications, manage project timelines for a cross-functional team including 3rd party vendors, create test cases for UI and data validation, and conduct post-launch training.