Head of Data Science at Red Bull North America.

Leadership and Management of the Data Science team: Oversee the end-to-end project pipeline, from initial scoping and delegation to delivery and implementation. This involved close collaboration with diverse teams and a strong focus on effective communication.Spearhead growth initiatives by partnering across functions to evaluate, define KPIs, and iterate on strategies. Leveraged A/B Testing to validate approaches and drive results.Develop predictive models for forecasting demand nationwide. Collaborated with sales, finance, and operations to ensure alignment and actionable insights, with a focus on understanding consumer behaviors.Engage with senior business leaders to pinpoint growth opportunities using data-driven insights. Utilized analytical frameworks to influence decision-making and elevate business performance.Strengthen data infrastructure by working closely with Data Engineering. Identified opportunities to refine and expand based on evolving business needs.Promote knowledge sharing and skills development within the analytics community. Demonstrate proficiency in data visualization using tools like Tableau & R (ggplot) and expertise in ETL tooling in SQL environments such as AWS, Snowflake, and Redshift.Hone expertise in statistical methods, experimentation, and machine learning using Python & R to derive insights beneficial for product recommendations and optimization.

Data Scientist driving insights on digital subscriber streaming platform. Projects have spanned marketing, regulatory, and product optimization efforts, including:-Building predictive models used to improve customer experience, reduce subscription churn, and increase CLTV. (Supervised machine learning, regression, etc)-Building customer segmentation models to unearth non-obvious patterns in consumer behavior and improve the specificity with which we communicate with our customer base. (Unsupervised ML, clustering, etc)-Cost benefit analysis to influence compensation policies and reduce regulatory risk. -Hypothesis testing, Social Network Analysis, & Data Visualization

My primary work is on Truth Decay, the examination of the diminishing role of facts and data in American public life. In addition I have become a contributing member of projects related to online disinformation, the rebuilding of Puerto Rico after Hurricane Maria, the opioid epidemic, and countering violent extremism online.

Clients include Blackwood Seven, Shapa Inc, Butcher Box, REWW, Zebit.Empirically identify areas of leverage to drive business growth. Draw on my analytics and entrepreneurial background to drive user acquisition, increase user engagement, grow customer lifetime value.

Co-founder of a bootstrapped startup aimed to enhance the at-home coffee drinking experience. The Blue-Apron of specialty coffee, we sought to deliver our customers everything they needed in order to begin enjoying specialty coffee at home. Finance and marketing lead. Created and deployed marketing campaigns and manage those campaigns against a media allowable. Cost acquisition analysis. P&L management.Develop digital marketing strategies for lead capture, direct marketing and remarketing efforts.

During my tenure at FanDuel Inc. we raised $275M in funding and posted 2x growth in revenues year on year. I led the Web Analytics Team and had these main areas of focus:1. Act as the key product stakeholder during the implementation of Google Analytics. Implementation was broken out into two phases:-The acqusition phase: strategize and setup KPIs to measure new customer registration and deposit funnels. -The product phase: build tools to optimize gameplay, customer satisfaction and customer retention. 2. Support Media team in the optimization of nearly $300M in Ad Spend across TV, radio and digital channels. Included producing analysis and reporting for channel managers as well as develop media attribution models that look at historical web response. Also acted as the primary driver for on-boarding of Convertro, a 3rd-party attribution tool. 3. Provide insights on the visitor journey across both desktop and mobile devices. Built FanDuel's first web reporting dashboards following the well known adage "What gets measures, gets managed" - Peter DruckerMeasurement of key metrics aided in a 2x increase of new customers and 2x increase in first time transactions year over year.

Managing and optimizing the web revenue channel through data analysis. Teaming with key stakeholders to providing qualitative insights driven by a quantitative foundation.Key areas of focus have been online channel attribution, variance analysis within testing and profitability modeling.Responsible for driving optimization of beachbody.com and teambeachbody.com through the use of analytics. Create self-service dashboards for key stakeholders to measure online performance. Define business requirements for analytics. Provide results and recommendations for testing campaigns. Perform deep dive analysis using various segmentation methods.

Sales and revenue optimization for the Telesales channel through the use of analytics, statistical testing and recurring performance measurement. Analyzing how key metrics trend over time and advising Brand Managers about revenue opportunities.

Teaching children how to sail and kayak during the summer.

Privately tutored students ages 12-17 in middle & high school level mathematics.