Responsible for managing two data scientists and prioritizing requests across two business units. Provide data analysis and insights that inform and influence product and business decisions. Key Achievements:  Led an analysis to shape the strategy and roadmap for the product team, focusing on the correlation of our task feature activity against overall product engagement and conversions. This analysis resulted in a shift of strategy. (SQL and Tableau)  Helped implement and analyze multiple A/B tests focused on conversions and user engagement. One test resulted in a ~2.3% lift in conversion rates for a specific paywall. (SQL and Tableau)  Conducted a data analysis for the executive team to better understand our Weekly Active Users (WAU), resulting in a correlation to recent performance initiatives in the company and retention rates, among other findings. (SQL and Tableau)  Identified an $8+ million revenue risk associated with legacy users, which led to a strategy change and marketing campaign. (SQL and Tableau)  Created product feature metrics and data visualization for the executive team to improve visibility into trends and impacts from product roadmap initiatives. (SQL and Tableau)

Evernote | Jul 2019 - Dec 2022

Data Scientist

Responsible for providing data insights that inform and influence product and business decisions. Work cross-functionally with product, marketing, and engineering teams to identify trends and provide quantitative analysis. Key Achievements:  Conducted pre and post analysis and created tableau dashboards to help monitor and track new feature releases, providing insights into user engagement across the product. (SQL and Tableau)  Developed a machine learning model (random forest) to better classify and predict which users would likely rate the app higher, resulting in a 15% lift in our average app rating. (SQL and Python)  Pioneered integrating a new data source into production tables by partnering with engineering teams to develop a new ETL. This new data source allowed the company to query and analyze app performance data. (SQL and Tableau)

SellbyTel (YouTube Contractor) | Feb 2018 - Jul 2019

Data Analyst

Build, monitor and maintain relational tables, metrics, and dashboards via SQL. Use data to inform and capture operational behavior to help improve the quality of the operations process and provide actionable insights. Key Achievements:  Conducted hypothesis tests to compare average review times for single versus multiple video takedown requests, highlighting a negative return on effort/investment for a proposed engineering change. (SQL and Python)  Created a forecasting model to predict the weekly incoming ticket volume, which allowed the operations team to staff appropriately. (SQL and Python)

Sony Playstation | Mar 2017 - Feb 2018

Sr Supply Chain Analyst

Developed inventory and logistics reporting, collaborated with the Finance Department to assess financial planning and performance and recommend strategies for optimizing spending. Key Achievements:  Developed a forecast model for Sony PlayStation's logistics budget using seasonality trend analysis in R, with a projected accuracy increase of 3-5% from previous models.  Managed the returned inventory project, developing process maps, and pioneered a data-centric view, which resulted in a reduction of inventory by 28%.

Walmart eCommerce | Jul 2014 - Mar 2017

Analyst

Analyzed and reported on inbound transportation’s KPIs, identifying opportunities for boosting performance, reducing transit times, and ensuring timely arrivals for four departments. Key Achievements:  Analyzed historical trends to develop insights into inbound transit performance; created a model that increased transit lead times by 20%.  Drove transit analysis efficiency 10% by optimizing quarterly lead-time analysis models for accurate lane adjustments.

My Education

Take a look at my formal education

Master of Science in Business AnalyticsSaint Mary's College of California | 2018

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