• Executive leader of data science organization across multiple lines of business: ecommerce measurement, fixed income, and new product R&D for retailers.• Collaborated with technical leaders to define strategic roadmaps for product and platform investments.• Introduced MLOps using MLFlow to combine high performance forecasting libraries like nixtla with sklearn for standardization and hyperparameter tuning.• Architected and guided development of a ML pipeline measuring and forecasting promotion effectiveness with a design scale of 100k+ models.• Assisted with a data engineering transformation that included hiring a new director, implementing agile principles, and strengthening SDLC/CICD practices.• Contributed data science, AI, and analytics thought leadership to reporters at trade journals.• Developed talent via delegation, technical demos, lean-coffees, and skip-level coaching.

• Led three teams of 20 - 34 data scientists in full product lifecycle areas: national television, digital, ad effectiveness, data integration, radio, and consumer insights.• Led R&D for new consumer measurement based on receipt images from a mobile panel. Guided development of neural networks and other machine learning techniques to estimate consumer purchases across the US.• Directed R&D of production pipelines for data integration, return-on-ad-spend. • Designed and co-wrote multiple production pipelines in Airflow, Python, and Docker • Added out-of-home audiences into national television product by integrating two Nielsen panel datasets.• Guided model and pipeline development for digital measurement: neural networks, maximum entropy models, and regressions. • Co-inventor on 10+ patent applications for mission-critical and proprietary solutions.• Established agile principles for methodology development and deployment, including full-stack, cloud-based pipeline implementations.• Forged close relationships with stakeholders and clients to understand their requirements and led my team to develop reliable solutions.

•Hired and led a team of 24 Data Scientists responsible for conducting survey and panel research of 1M+ respondents annually•Prepared and managed budget of $100M+ and led forecasting across an even larger footprintDrove major cost savings that freed $3M+ per year for strategic reinvestment in qualityMaintained and improved survey KPI's in support of industry accreditation effortsLed efforts to implement advanced optimization and statistical forecasting techniques to increase quality and decrease cost.

• Hired and led team of five senior and principal analysts• Prepared and obtained executive approval of business case for $2M capital investment in analytic tools• Responsible for building and maintaining budget models for entire Operations environment• Coordinated demand planning across full production line and over multiple service lines• Delivered substantial hard savings from inventory optimization• Developed company-first statistical analytics plans to identify and target drivers of critical KPI’s, such as: - Led cross-functional effort that reduced variance of turnover forecast to 0.2 percentage points by using Kaplan-Meier survivor function, which reduced budget variance by wide margin - Led analytic effort to identify and correct root cause in response rate declines, an enterprise-level KPI, which resulted in stabilized behavior and a working prototype for recovery - Developed Monte Carlo simulation to forecast to eliminate guesswork and clarify financial risks• Led critical reporting efforts to maintain compliance with legal commitments• Wrote 1,100 line SQL query against data warehouse to provide cutting-edge insight into operational performance• Served as company expert on feasibility, design, and planning of long-term improvement efforts

• Architected and developed discrete optimization tool that improved service quality by 35%, the largest quality improvement in the history of the service- Company-first application of mathematical optimization to survey operations- The application consists of 5,000 lines of python and 5,000 lines of SQL• Provided work direction and mentoring to team of 4 analysts• Led statistical analyses to enhance production line efficiency, enabling nationwide expansion of service• Maintained and improved service quality in 70,000 person panel by balancing dozens of conflicting KPI’s• Developed operational reports to enable  deployment to remain on schedule and at maximum quality• Created data visualization culture and drove the adoption of state-of-the-art data visualization software

• Identified new KPI metrics and engaged senior management in their adoption• Planned, communicated, and executed production tasks on a daily basis to build the panel• Innovated tools and procedures for building a 70,000 person research panel• Integrated data visualization into production  environment and trained management on best practices• Wrote 700-line SQL query against transactional system to enforce complex, critical business rules in operational environment to maintain methodological compliance

• Developed software drivers for hard drive encryption products• Wrote 2,000 lines of C++ code, requiring 100% bit-level accuracy and extensive use of STL• Mentored peers in encryption methods and algorithms• Maintained test environments and test cases• Administered version control and automated build environment to give nightly status reports

• Supported IT operations during school vacations• Wrote e-commerce site for museum store in ColdFusion• Wrote 4,000 line weather forecasting application using NOAA NWS data.  In an update, added support for webservices data exchange using SOAP/XML.• Configured and deployed dozens of end-user PC’s in enterprise computing environment• Extracted and manipulated data programmatically to support integration of digital collections database• Created, coded, and deployed solution to handle inventory of limited edition artwork