In my capacity as an Advisory Board Member, I play a role in guiding the organization's strategic vision. My primary focus is on shaping the company's technology infrastructure and optimizing product offerings through the strategic integration of machine learning. Drawing on my deep expertise in technology trends and machine learning applications, I provide guidance into product development, identifying opportunities for innovation and profitability. My goal is to assist the company in leveraging cutting-edge technologies, fostering a culture of continuous improvement, and ultimately driving sustainable growth by delivering AI-powered solutions that resonate with both existing and emerging markets.

As an Advisory Board Member, my role is to provide strategic guidance and expertise in the development and expansion of a specialized ML and AI data strategy consulting practice. Leveraging my extensive experience in data management, machine learning engineering, and technology, I contribute valuable insights to shape the firm's approach to helping clients harness the power of data effectively. This involves offering recommendations on service offerings, talent acquisition, technology partnerships, and market positioning. My aim is to enable the firm to navigate the complex data landscape, anticipate industry trends, and deliver innovative solutions that empower clients to maximize their data assets for informed decision-making and sustainable growth.

As Chief Transformation Officer, I am responsible for managing and delivering on a portfolio of cross functional strategic initiatives. In partnership with our CEO and COO, my focus is spread across data capability enablement, including establishment of Enterprise Analytics and Machine Learning teams, roadmaps and infrastructure. Also under my span is crisis management and laying the infrastructure for continuous improvement of existing processes and integration of acquisitions.Major Contributions- Established Enterprise Analytics Organization with a charter to bring assistive intelligence to business leaders via regular reports on operational metrics and the power of machine learning.- Established ML led data products roadmap to deliver differentiated data offerings to market- Established Transformation Organization, responsible for facilitating strategic change, innovation and continuous improvement throughout NationsBenefits.- Established NationsBenefits first M&A integration playbook, including development of key cross departmental integration checklists, key procedures, key meetings, staff and technology evaluation checklists and repeatable integration plan toolkits. Responsible for establishing companywide "TIGER" teams to lead integrations.

Vice President of Product Development acting as principal architect of RealPage's data acquisition, data management, and AI and ML platforming strategy for their proprietary analytical software portfolio. Reporting into the Chief Technology Officer, I managed development of a diverse portfolio of custom data processing , machine learning and AI platforms. In addition to this role, I also partnered with teams under the Chief Operating Officer to collaborate on internal machine learning projects including customer analytics tools, operational analysis, and go-to-market planning. Key Technology Contributions- Established Data Architecture and Machine Learning Center of Excellence to create a unified data model to support ML and AI application builds.- Established intelligent user tracking mechanisms and owned surfacing insights to support data driven design.- Established and led architecture team responsible for development of machine learning engineering infrastructure to support rapid innovation.- Worked closely with office of the COO and pricing leaders to to develop customer segmentation models, pricing models and revenue optimization models to support sales and go to market strategy.- Worked closely with Line of Business leaders to define AI and ML use cases, and establish the foundational pipelines to bring cases to life.

Founder of addedIQ, a consulting firm focused on developing machine learning and AI driven data products.Responsible for successfully launching AI and Machine Learning backed data products for Private Equity, Venture Backed and Publicly Traded clients in industries spanning : - Retail- Finance- Real Estate- Healthcare- B2B Manufacturing- ConsultingResponsibilities included acting as Chief Architect, Chief Scientist and Chief Technology Officer, as well as partnering with executive leaders and investors on go-to-market strategy, offering pricing and solution scaling.

Executive level manager overseeing the design and implementation of proprietary analytics consulting processes and solution design for private equity portfolio companies-- Successful at leading projects resulting in increased operational cash flow and repeat engagements from all clients, including clients in the following verticals : + Publicly traded e-commerce + Privately held brick and mortar consumer retail + Privately held consumer finance-- Developed proprietary consulting process to discover operational shortcomings and blend and bridge the gap between business units and data organizations for rapid adoption of analytics projects-- Developed and executed against annual business plans and had P&L responsibility including resource budgeting, core service pricing and strategic marketing investment.-- Responsible for recruitment and mentoring of technical hires, for clients and internally, wrote and developed onboarding course for new hires

-Hands-on development and presentation of custom segmentation using R and SQL leading to new brand positioning strategy for +$4BN computer hardware retailer-Act as analytics lead for +$3BN fashion retailer, performing data profiling and behavioral modeling exercises in R as well as providing hands-on guidance to analysts around appropriate data studies to conduct, how to structure test and learn plans and how to frame and present final results. -Develop and document repeatable data loading, profiling and reporting programs in R for use across clients. -Act as analytics subject matter expert for internal software development team, providing guidance around client reporting needs, identifying areas where proprietary software can be used to solve common problems faced by clients. -On an ongoing basis, work with account leadership to develop and implement longitudinal account development strategies including the creation and presentation of new business proposals for additional analytics work and developing internal analytics playbooks.-Lead technical interview process with client-side analytics and I.T. teams during discovery phase of new projects and proof of concept opportunities.-As needed, collaborate with internal and external data architects to craft current and future state solutions architecture, assess current state analytics capabilities and develop future state road map for client analytics. -Lead and participate in internal and external analytics teach out sessions which showcase new statistical techniques and data findings. Client facing aspect includes the education of external analytics teams both on the strategic and technical value of our analysis.-Collaborate with account leadership to provide technical expertise when responding to RFPs, including contributing to internal RFP response repository.

●Implemented cutting edge segmentation developed in SAS and SPSS : led to a 150% increase in YTD direct mail campaign sales and 80% increase in net margin for +$2BN footwear retailer ●Leveraged cultural research to develop a quick hit CRM strategy for +$1BN fashion retailer: led to immediate positive impact to email open and click through rates (+7%) and program opt in rates (+10%).●Operate as strategic analytics lead over consulting engagement with $400M+ furniture wholesaler, directing the development and presentation of track-able direct mail pieces, market segmentation, and communication test and learn plans.●Oversee application of strategic email and direct mail test and learn plan leading to increased margin protection (+2%) due to identification of price sensitive customer segments for +$2BN multinational retailer.●Leverage web analytics to optimize performance of social media campaigns for +$6BN multinational semiconductor company, leading to 5% growth in social media presence and 6% of social media fan base involvement in online promotional competitions.

Analyze, interpret and report supply-chain data to facilitate board-level marketing decisions. Provide effective presentation-style data interpretations to highest decision makers of manufacturing enterprises and their large distributors. ✓ Achievement: developed penetration model benefiting sales representatives ($400 M+ medical product distributor) thus gaining a consulting contract extension ✓ Achievement: earned highest client confidence ( $500 M+ distributor) resulting in 60% billable increase through top quality statistical modeling leading to client 2% sales margin increases ✓ Achievement: established and now lead internal skill development group creating internal information sharing system✓ Achievement: proposed online analytics delivery system and secured funding

-- Developed proprietary statistical models to optimize donor retention through targeted marketing-- Provided interpretation of statistical findings and recommended actionable strategies for 2009 fundraising plan-- Analysis and conclusions presented in 2009 Board of Directors Strategic Report

-- Constructed models to predict claim values based on location and housing characteristics using Excel and R-- Estimated effects of housing characteristics on claim value with a logistic regression model.-- Developed additional models to fit claim values using statistical distribution fitting techniques-- Developed automated insurance premium pricing models in Excel