Currently teach a course at Columbia's Master of Science Program (Business Analytics) on visualization and telling a story with data. This course covers principles of data visualization and teaches students how to build a data story to present to business leaders and executives. The course is now also available as a certificate program.

• Responsible for product, marketing, customer, and sales analytics • Partnered with executives and leads to drive OKR development and key business decisions based on analytics results• Built and hired a team of analysts and analytics engineers• Built a customer analytics strategy including building and analyzing NPS surveys• Standardized A/B testing process and formalize results readouts • Key contributor to the creation of a customer marketing and A/B testing strategies for customer acquisition and retention• Identified key data driven hypotheses to make product roadmap and launch recommendations • Helped foster a culture of data utilization for direct business impact across entire company

• Responsible for digital and web analytics for Macys.com and Bloomingdales.com• Built and hired a team of 10+ analysts to support all digital experiences• Developed A/B testing program that drove $300M+ incremental revenue in one year• Developed analytics framework to identify feature improvements and conversion opportunities• Partnered with FP&A to set eCommerce KPI targets and assess performance• Started a quarterly analytics hackathon with results shared across the entire company• Developed a monthly analytics showcase to network and share methodologies/analyses with200+ analysts across the company

Leading Analytics at WW• Started the first analytics team at WW• Created the strategic plan to start, build, and grow analytics practices at WW• Lead tracking, analysis, and reporting of key product, marketing, and financial KPIs• Built and hired a team of 8+ analysts to support the entire company by business vertical• Led a team to implement Google Analytics across the WW website and app• Built a process for analytic request prioritization• Developed frameworks for complex projects and dashboards• Launched a marketing segmentation program and strategy• Implemented an analytics excellence program for training in SQL, Looker, Python, and Statistics• Worked with international stakeholders in 12 countries

• Conducted stakeholder interviews to define project roadmaps and vision• Worked with engineering, UX, design and sales to clearly define project scope, goals, and acceptance criteria • Managed customer feedback and instructed the team how to implement changes during all project phases • Conducted feature prioritization meetings and created and maintained product backlogs for three teams• Analyzed data to make informed decisions about product and process improvements• Launched successful product features using an iterative process• Balanced project scope and urgency alongside requests from users and other departments• Responsible for all product and feature documentation including on product process and feature releases• Communicated all new features and improvements via documentation and trainings to executive stakeholders, sales, client success and marketing

As a data analyst I oversaw and led all analyses for the Content/Contributor team. I held weekly prioritization meetings to determine the business impact of each analytic request. I conducted bi-weekly meetings with the Content team and product teams to share analytic results and discuss opportunities to use the data to enact changes. I also trained the non-data team to independently use Excel and to learn to analyze some of their own data. I was responsible for weekly reports using key KPIs across content acquisition and content marketing. I created a model to predict weekly content acquisition. I created a payout model for all people submitting content and used it to create an initiative to lower the minimum payout for the contributors and change the operating model. I was the first to analyze key metrics around photos including the metadata attached to each piece of content. I independently learned about photo metadata and how it could be used to improve the business.

As an epidemiologist I analyzed datasets of over 15,000 FDNY employees to determine the relationship between exposure to the World Trade Center (WTC) site and adverse respiratory and mental health systems and disorders. I was also responsible for project management for each study I was part of. This involved tracking all data management and analyses and ensuring all results were presented in a clear and organized fashion. I was responsible for creating analytic plans, cleaning and analyzing the data and presenting results in weekly meetings. The final product of all analyses resulted in peer-reviewed publications. I contributed to 10 peer-reviewed publications; two as primary author. -Created multilevel models, piecewise exponential models, mixed models in SAS-Use SQL and macro language in SAS to manipulate data and run statistical models-Created sampling schemes and random samples for multiple WTC studies-Cleaned datasets of 15,000 – 30,000 employees for analyses-Coordinated data collection, QA, and the analytic plan on an ongoing autoimmune disease case-control study -Analyzed data on H1N1 vaccine acceptance among firefighters and predictors of acceptance

The first CDC/CSTE Applied Epidemiology Fellow in Injury in New York City. At the end of the fellowship I won the 3rd Annual Hilary B. Foulkes Memorial Award for Outstanding CSTE Fellow.-Created an active surveillance system, data collection tool, data analysis plan to evaluate fatal falls among older adults in NYC-Conducted analyses using SAS and Excel of falls among older adults in NYC using administrative datasets and the active surveillance dataset-Used GIS to analyze disparities and fatal childhood injuries -Evaluated an active surveillance system using SAS and Excel for assault related injuries-Cleaned, managed and analyzed H1N1 datasets for hospitalized patients using SAS and Excel-Created a coding scheme to analyze underlying conditions in H1N1 hospitalized patient datasets -Created tables and epidemiologic curves for daily H1N1 reporting which were used in materials given to public health officials and the public

evaluating an electronic system designed to link people with HIV into medical care

Evaluating a telemedicine program that provides health care to prisoners