Leveraging industry experience to bridge the gap between academia and real-world business analytics through project-based learning and curriculum development.-Lead and manage: Oversee the MSBA program, guiding curriculum, incorporating data science trends, and ensuring practical applications are integrated into coursework.-Industry-focused learning: Facilitate real-world consulting experiences for students by defining data science and analytics projects with partner firms. Manage student teams to deliver projects that add tangible value to clients' businesses.-Bridging the knowledge gap: Utilize extensive industry expertise to curate curriculum that reflects emerging tools, trends, and practical applications in business analytics.

Helping organizations to create and revitalize their practices and technology for data analytics, process management, and digital transformation. Recent engagements include:- Engagement for digital marketing agency to build platform for the translation of customer behavior into actionable business data. Implemented data management and digital analytics tools to examine the many online channels their clients use and identify new revenue opportunities from existing campaigns.- Assisting venture capital firms scouting and selecting AL/ML platforms for investment.- Work closely with client senior leadership to cut through the hype, develop data & analytic strategy and measure the advancement of analytic maturity.- Built sandbox environment for data scientists to use the latest ML frameworks (e.g. Tensorflow, Spark, Scikit-Learn).- Created a cloud-based infrastructure to automate the sourcing, cleansing, harmonizing, and staging data for predictive analytics (i.e., S3, Matillion, Redshift, etc.)

Established applied analytics practices for optimizing benefit of process improvement programs in support of end-to-end customer value chain transformation. - Provided machine learning based root cause analysis to identify and remediate in-home device defects that drive poor experience, churn, and service cost. Benefits exceed $45MM. - Integrated behavioral and survey data to build structural equation model to identify leverage points for customer value chain investment, realizing over $13MM in churn and service cost reduction benefits.Founded and Led Enterprise Analytic Competency Program - Built/delivered business case and partnered with internal and external technology vendors to modernize technology stack (Spark, Python, R, Scala, Databricks and cloud infrastructure) for large scale machine learning. - Incorporated AI and machine learning principles enabling the organization adopt new operating model at large scale, engage stakeholders into design-led thinking and reinforce new behaviors.

Lead development of blended on/off shore customer analytics team, implemented workflow and project management standardization, and implementation of analytic products into decision processes. - Delivered actionable behavioral customer segmentation framework in 90 days. Realized immediate ~20% gain in direct marketing response rates. - Streamline joint project management processes with technology group resulting in ~15% reduction in customer analytics platform cost. - Led transition from one outsource analytics vendor to another in accelerated time frame. Synchronized vendor engagement model, and integrated internal analytics assets. Over $1MM savings realized. - Implemented agile methodology for analytics project delivery.

Recruited for one-year contract to grow new analytics service line revenue. Example Engagements:Major Cable Operator - Sold and delivered $500k project within 60 days to create the definition and documentation of performance measurement framework for Network Operations & Engineering, including: Network Engineering, Video Engineering, Critical Infrastructure, Technical Operations, and RNOC/GNOC.Multinational Mobile Operator (International) - Customer analytics sub-team leader in overall $10MM effort to define strategy, process, organization and analytics technology in support of mobile consumer analytics, and monetization of insights derived from data generated by interaction of people, devices, and services. Ground-breaking use of big data and machine learning technologies.

Lead the product development, marketing, and sales of packaged customer intelligence solutions. - Built multi-country team (team members based in five countries) to create customer intelligence solution (packaged SKU including data models, predictive models, and dashboards) in under one-year time frame. - Partnered with account executives to sell over $3MM in above named customer intelligence solution licenses. - Sold and led over $1.5MM in consulting engagements as principal consultant and methodologist. - Prepared and delivered customer management strategy to 20+ C-level clients in over 15 countries. - Won annual Sales Innovation Award Impact Through Innovation. - Developed go-to-market partnership with mobile applications vendor, sold and delivered ~$1MM solution.

Created and managed customer decision sciences practice (including creation of team and data science platform), and marketing systems in support of enterprise customer experience management. - Enabled customer experience programs with targeting systems and predictive models used to drive monthly customer churn down by over 40%. Over 2.5 years Nextel went from highest to lowest churn among US mobile operators. - Created business case and obtained capital of over $1.5MM to implement scalable predictive modeling platform. - Implemented customer experience intervention testing process to reduce cycle time from six months to 30 days - Created behavioral and profitably-based lifecycle targeting system in support of shift from customer acquisition to customer experience focused strategy. Impact on company performance after one-year illustrated by 2nd Quarter 2003 v. 2nd Quarter 2004: Revenues increased from $2.2 billion to $3.3 billion, a 50 % increase; and EBITDA increased from $816 million to $1.2 billion, a 47 %, increase.