Current focus is establishing Innovation as a culture and a practice within the existing data science organization.Prior focus was establishing an elite team of 20 data scientists and statisticians to function as a COE. Introduced the very first Data Scientist position at Comcast. The team has since developed and now maintains a portfolio of 150+ predictive models and advanced algorithms.• Expanded predictive modeling support to cover the Enterprise (Marketing, Customer Care, Collections, Field Operations, Digital, Fraud & Risk)• Designed and developed solutions that accurately predict customer behaviors such as: Product Recommendation, Dynamic Pricing, Intelligent Call Routing, Purchasing Behavior, Churn, Call Propensity, Payments, Product Usage, and Direct Marketing Response • Managed the development of over 150 predictive models with a wide variety of techniques such as Logistic Regression, Decision Trees/Random Forest/Gradient Boosting, Support Vector Machines, Neural Networks/Deep Learning, Time-Series/ ARIMA/Exponential Smoothing, etc.• Built an internal Data Science Academy from the ground up: a 36-week internal program to teach data science skills to analysts across the enterprise• Designed an optimization algorithm to directly manage the spend of a $1.3B budget forproactive fiber network buildout• Combined GeoSpatial and traditional modeling techniques to implement an algorithm which predicts the best locations to install outdoor public WiFi sites• Transition the modeling team into the Big Data realm, instituting machine learning, Hadoop, Spark, and other open source technology into the predictive modeling process

Provide data insights to various business units and initiatives, raise the overall competency of the enterprise regarding advanced analytics, and improve the ability for the enterprise to make data driven decisions.• Manage a small, but elite team to develop predictive models supporting the Enterprise (Marketing, Customer Care, Collections, Field Operations)• Transition the modeling team into the Big Data realm, instituting machine learning, Hadoop, and Hive technology into the predictive modeling process• Liaison with Marketing to provide insight and optimization strategies for complex targeting scenarios (Maximize ROI, Maximize LTV, or Minimize Churn)

• Build predictive models with a wide variety of techniques such as Logistic Regression, Decision Trees/Random Forest/Gradient Boosting, Support Vector Machines, Neural Networks, Time-Series/ARIMA/Exponential Smoothing, etc.• Develop predictive models that accurately predict customer behaviors such as: Upgrade/Downgrade, Churn, Call Propensity, Payments, Direct Mail Response, etc.• Perform clustering and segmentation techniques to improve predictive model power

Individually responsible for establishing, tracking, and reporting metrics to define operational success and opportunities for improvement. Effectively works across functional teams including markets and corporate partners. Works very closely with deployment and project management teams.• Responsible for measuring the success & evaluating the impact of national projects – perform over 3,000 analyses per year• Devised and implemented a National Reporting Strategy for 2012• Designed & created project specific Dashboards for an executive audience – Conceived the popular “EKG” style for rapid deployments• Created revolutionary “early warning” tools with Machine Learning algorithms: Pulse Real-Time Alerts, and The TTS Crawler• Created & developed a proof-of-concept to leverage predictive analytics on work orders • Conceived & presented a realistic Gamification initiative that would improve operational metrics company-wide

Recruited under short-term contract in order to assist the start-up company develop efficient and effective business processes regarding inventory management with RFID embedded assets. Rapidly standardized reporting procedures and processes for an executive level audience.• Perform data extractions from multiple sources, consolidate, and provide analyses on asset movement trends and pooling cycles• Implemented creative reporting strategies • Responsible for maintaining and monitoring inventory levels across 100+ Depots, including monthly invoicing

Experienced a wide range of responsibilities including Sales Analysis, Customer Care Operations, and Workforce Management. Awarded the distinguished “MVP” award in 2007, for excellence in the workplace.• Designed and produced a monthly Balanced Scorecard for the Board of Directors and the EVP of Sales & Service• Implemented a company-wide Management Response Strategy across 6 Call Centers, to coordinate organized and efficient responses to call volume situations• As lead analyst, contributed to many successful corporate strategies: Sales Compensation Plan 2008, Performance Based Scheduling, Work At Home Program, State Based Call Routing, CRM Implementation• Delivered narrative analysis and reports on the following areas: Product Sales & Analysis, Promotional Offer Sales, Call Center Performance Metrics, Direct Mail Campaign ROI and Response Rates, Telemarketing Campaign ROI and Response Rates, Customer Retention Efforts & Analysis, Revenue Adjustments, IVR Usage, Customer Satisfaction, Customer Lifetime Value vs. Customer Referral Value, Employee Performance

Analyzed debt collection operations, developed sales strategies that improved profitability by 20%.