Emmy Burnett Email & Phone Number

- As the only data scientist in the company, led relationships with stakeholders in Marketing, Inventory Planning, Finance, and Logistics to understand their needs, propose impactful data science projects, and establish a data-driven culture at Spanx.- Produced clear, meticulous KPI reports and dashboards for C-level executives for use in company-wide planning. Closely examined the underlying data to answer why certain patterns emerged and how they translated to actions.- Created a text mining solution to extract themes and sentiment from high-volume customer feedback, which directly informed product development decisions.

Raleigh, North Carolina, United States

- Managed a team of 3-4 data scientists. Responsible for performance reviews, hiring, career development, and connecting individuals with opportunities that optimized their strengths, interests, and organizational impact.- Explored new data sources and built models supporting product-led growth for our cloud services products. Represented a significant shift in strategy and pace from Red Hat’s traditional subscription model.- Developed and promoted standardization of hiring and onboarding best practices for all data scientists across the company.- Nominated for “CFO Connect,” an immersive, year-long project with a cohort of 10 influential leaders from across the Finance organization. Created a cost allocation model and change management plan to enable informed investment decisions for offices and headcount.

Raleigh, North Carolina, United States

- Supported individuals across the team with onboarding, planning, project management, project guidance, and stakeholder management.- Co-led a cross-functional team developing a suite of propensity models that predict key customer behaviors. Drove model adoption in 8 production endpoints in every major department, allowing users to prioritize various actions across the funnel. Model outputs produce a 24x improvement in conversion rates and have contributed to $60M in bookings.

Raleigh, North Carolina, United States

- Led a project forecasting a new financial metric for the company. Coordinated the efforts of 9 team members to produce forecasts along with supporting dashboards and content. Gathered requirements from stakeholders and shared regular progress updates.- As a trusted expert on the structure, logic, and quality of our Salesforce and customer data, continued completing acquisition-related data requests after the official close date. Analyses were used by senior decision makers in Sales and Finance on both the Red Hat and IBM sides.- Created framework for all 21 team members to share quarterly feedback for each other and for the team as a whole. Led a discussion to determine common themes in the overall feedback and coordinated team initiatives to address these themes. Initiatives resulted in concrete improvements in the team including a centralized site for our documentation, a structured code review process, and regular demonstration sessions.

Raleigh, North Carolina, United States

- Built, improved, and maintained a classification model that identifies the likelihood of sales opportunities to close. Led the project development in all areas including data creation, model tuning, automation, visualization, planning, communication with stakeholders, and measurement of business impact. Model results are easily accessed in both Salesforce and regional Tableau dashboards and are useful for deal prioritization, pipeline hygiene, and sales forecasting.- Produced dashboards and views of the sales pipeline for C-level executives. This information supported planning and forecasting efforts, and was ultimately used to set earnings guidance for investors.- As a trusted expert on the structure, logic, and quality of our Salesforce data, completed data requests for regulatory agencies in light of the IBM acquisition efforts. Contributed to the largest software acquisition in history.

Master Of Science (M.S.), Analytics

Intensive 10-month Master’s program with a curriculum geared towards developing well-rounded analytics professionals with skills.

Bachelor’S Degree, Statistics

Minors: Business and Sociology Relevant Coursework: Data Mining and Statistical Learning, Statistics Senior Capstone, Regression Analysis.