Genpact

Leads vision, strategy, and execution for all facets of Artificial Intelligence and Machine Learning at this global professional services firm.  Developed a roadmap to evolve the OneAI practice into a world-class billion dollar line of business, developing and delivering innovations in data strategy, MLOPS, computer vision, natural language processing/LLMs and neural networks/deep learning to meet the unique needs of clients in Consumer Goods, Retail, Industrial , Tech/Media/Telecom and Supply Chain sectors.

Vice President of Artificial Intelligence

Stealth Startup

Retained by pre-Series A Logistics and Transportation startup to build architectures and methods for near-real-time MLOPS-based production machine learning and prescriptive analytics products.  Positioned the company to scale into a data-driven provider of industry-changing AI & Analytics service to improve safety, driver utilization, dock and yard, predictive maintenance, and fleet / asset management.
	Provided guidance and direction to the business on data strategy, governance, engagement with venture capitalists, and strategic customer acquisition.
	Served as the architect of a groundbreaking data governance architecture and process to manage risk and the provenance of data assets.
	Developed a framework to train and gather data sets, synthetic data, IOT/sensor data, and image/video data for Computer Vision (CV) applications, as well as textual log data for NLP applications.

EVP, Chief Data & Analytics Officer

Capgemini

•	Global role advancing the Perform AI portfolio including AI Activation & Reimagination; Custom Data Science, MLOPS & Data Engineering at scale; Intelligent Applications & Intelligent Process Automation for North America F500 & European customers. 

•	CxO-facing champion for strategic AI & Analytics pursuits in global target industries including Telecommunications, Media & Technology; Industrial Markets; Energy, Utilities & Natural Resources / Chemical; Consumer Products, Retail & Distribution; & Public Sector. 

•	Focused on Analytics Advisory to CAO/s/CDOs including: establishing Analytics Centers of Excellence (CoE); Advanced Data Strategy & Governance for AI/ML/Big Data; MLOps/DataOps-based Delivery Models and emerging AI use cases, technologies & frameworks.

• Managed relationships and programs with strategic partners including AWS, Microsoft, Google, Salesforce, Snowflake and others 

•	Subject matter lead on Resilient Supply Chains & Supply Chain Analytics offerings

•	Defined key components of Smart COVID Response offering and managed key partnerships with AWS, Snowflake and others

Vice President, Artificial Intelligence & Analytics

DXC Technology

Coordinated and led AI/ML engagements with clients in multiple industries, with accountability for strategic planning, CoE and governance establishment,  solutions architectures, organizational capacity, and technical delivery.

	Led end to end product development for offerings spanning Revenue Analytics, Reliability Analytics and Innovation Analytics, supervising teams and delivering value propositions, Go to Market strategies, AI/ML designs, operating models, and UX design. Oversaw 12 very senior data science leaders with teams of 16-150 delivery resources.

	Successfully met the needs of clients in the Retail/CG, Freight, Rail, and Logistics industries, providing solutions to maximize the performance of Supply Risk Analytics, Network Optimization, Cube/Load/Lane Analytics, and Cross-Dock operations.

	Worked with clients to create and reboot 34 Analytics Center of Excellence.  Appointed as the North American Lead for the company’s Analytics CoE for the Travel, Transportation, and Hospitality industries.

Lead Data Scientist, AI & Advanced Analytics  

Hewlett Packard Enterprise

Customer-facing leader of global data science teams for a wide range of Fortune 100 clients. 

•	Shaped predictive analytics solutions with senior leaders of client enterprises. Conducted client workshops, executive briefings and capability demonstrations. Presented results at conferences.

•	Architected & led development of clustering, segmentation, survey design, market basket analysis, attribution modeling, marketing models for Retail, CPG and Grocery clients using census/ACS, market & syndicated consumer intelligence data. Combined customer profiling with user experience optimization including A/B Testing, clickstream and log flow analysis.

•	Designed Natural Language Processing (NLP), Anomaly Detection, Fraud Discovery and Credit Scoring solutions for start-up and non-traditional financial services and payments providers,

•       Delivered predictive models for Health & Life Sciences/Pharmaceutical customers.

•	Built optimization models featuring linear programming, stochastic optimization and evolutionary optimization for manufacturing (MES using PLC), car and equipment rental clients.

•	Responsible for executing & supervising data profiling, integration (ETL/ELT), transformation, data wrangling and feature engineering and predictive modeling using R (tidyverse, caret), Python (pandas, numpy/scipy, sci-kit learn, spaCy, seaborn, matplotlib), Spark (SparkSQL, MLlib), various deep learning frameworks (CNTK, Keras, TensorFlow, PyTorch) and cloud platforms and tools (Azure ML, Data Factory, App Services, SQL DB & SQLServer; AWS ML, SageMaker; Google GCP & AutoML).

AMS Team Lead | Analytics Solution Principal | Master Level Data Scientist

Ericsson

Served as the architect and data scientist for this telecommunication company’s EnVision platform, which integrated AI/ML, predictive models, forecasts and simulations with blended data from legacy and source systems in a Big Data environment.  Built an innovation team from the ground up and defined the Minimum Viable Product.  Leveraged the use of R, Python, and SQL to extract and scrub source data.

	Optimized annual project streams for north American deployments ranging up to $1B. 

	Advised the team and business on experimental design, feature selection/engineering, choice of algorithm and other factors to optimize models and algorithms.

	Developed prototypes of machine learning models in R as well as dashboards providing insight into project finance and governance, supply chain and network performance.

Program Director | Principal Data Scientist

NearMediaLLC

Leveraged the use of AI, Big Data, Social Media, Mobile, and Cloud architecture to build and scale global business ecosystems.  Worked with clients to explore proofs of concepts centered on risk, compliance, and monetization.  Responsible for $20M in annual revenue.

Client engagements included developing a vision, strategy and architecture for a global analytics platform for UPI, as well as the creation of a global business and data strategy for the leading news agency in Afghanistan.  Used NLP and text mining to help the news agency perform sentiment analysis and multilingual validity checking across online and social media sources.

Executive Vice President  | Chief Data & Analytics Officer

    

Senior Data Scientist, Cox Communications, Atlanta GA

Chief Strategist and Executive Vice President, Multiple Companies in Afghanistan, Egypt, Timor Leste and others.

Chief Executive Officer, webStrategic, Seattle, WA

Senior Vice President, TanData (Acquired by UPS), Seattle WA / Tulsa OK

Vice President, Analytics, E-Commerce & Data Management, USWeb/CKS, WA / CA

Director, Platforms/Technology Alliances, iCat E-commerce (Acquired by Intel), Seattle WA

Principal | Group Product Manager, Business Intelligence Solutions, FourGen (Supply Chain) Software, Seattle, WA

Early Career

National Science Foundation

Analyst and modeling specialist on government-sponsored research projects while pursuing interdisciplinary mathematical modeling PhD under National Science Foundation Fellowship. 

•	Completed graduate courses/independent study in research design and formal methodology, game theory, optimization, social network analysis, modeling, data analysis, statistics and simulation.
 
•	Completed advanced training in SQL, SPSS, SAS, MATLAB and other applications.  

•	Gathered, cleansed, refined, integrated and performed extensive analyses on large multi-country data sets about informal sector economies for the World Bank. 

•	Developed operations models and agent-based simulations in C/C++ for Defense Department.
 
•	Contributed to faculty research using statistical models, including linear and logistic regression, clustering and classification algorithms for data mining, Monte Carlo and Markov Chain simulations.

Graduate Fellow / Independent Consultant

75th Ranger Regiment / Joint Special Operations Command (JSOC)

U.S. Army Ranger / Special Operations NCO

	Experienced executive skilled in orchestrating business strategy and operational excellence with a focus on the development of analytics and AI/ML solutions for leading companies in multiple industries.  Holds a broad and deep command of topics in the Data Science, AI/ML and Analytics space.

	Offers a progressive record of results, with the ability to build and lead data, analytics and governance programs for business value that empower companies to enact informed, evidence-based strategic decisions and processes at scale.   Career history encompasses evolution from R&D technologist to delivery lead and solutioning lead, culminating in general and executive management.

	Excels in executive leadership and implementation of planning and execution while developing strategies to meet future challenges. Leads strategic initiatives focused on growth and collaboration, as well as internal process improvement and efficiency.

Areas of Expertise:
* Leadership & Executive Management
* AI/ML/IoT Innovations
* Strategic Planning & Execution
* Data Science / Analytics
* Intelligent Automation
* Process Improvement

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