Professional Experience.

Vice President Data Architecture, MarketCast 
Strategic Leadership: Defined and executed the strategy for cloud-native A.I. and machine learning capabilities, aligning data architecture with business goals to accelerate analytics and data science capabilities. 
Team Building & Mentorship: Built and led a global team of data scientists, engineers, and architects, fostering a culture of innovation and agile collaboration. 
A.I. Product Platform: Consolidated multiple analytic products onto a unified enterprise data platform, significantly reducing product development time, enhancing data quality, and enabling advanced A.I. and machine learning capabilities organization-wide. 
A.I. Innovation: Created the company’s first A.I. powered data product, replaced legacy data architecture with A.I. driven automation, leading to massive improvements in efficiency and greatly reducing the production time for all of the organization’s data products. 

Head of Data Science, Health Recovery Solutions 
A.I. Strategy & Implementation: Created and implemented a comprehensive A.I., business intelligence, and analytics strategy, leading to the creation of innovative biomedical data models that drove measurable improvements in operational efficiency and patient outcomes. 
Advanced Data Ecosystems: Designed a large-scale, HIPAA-compliant data infrastructure integrating real-time analytics, machine learning, and compliance capabilities, supporting Clinical, Product, Finance, and Operations teams in developing personalized, data-driven solutions.  
Product Development: Directed the development of A.I.-powered products in patient health monitoring and predictive analytics, significantly enhancing product offerings, patient satisfaction, and market competitiveness.

Vice President & Group Director Analytics & Data Science, Digitas/MRM         
A.I. for Customer Solutions: Enhanced Digitas/MRM’s A.I. and machine learning offerings, developing customer-centric solutions that boosted engagement and satisfaction across the healthcare, finance, and technology sectors. 
Data Science Leadership: Managed a team of over 30 data professionals, overseeing the strategic planning and execution of data science projects that advanced the agency’s analytics maturity. 
Commercial A.I. Products: Launched data products in marketing analytics, healthcare risk stratification, and advertising effectiveness, resulting in a 20% improvement in user profiling accuracy and a competitive market position.

Senior Director Data Science,  Aetna Insurance         
A.I.-Driven Decision Support: Led development of proprietary data products in clinical, claims, and behavioral analytics, integrating machine learning to enhance decision systems across Aetna’s product lines. 
Cross-Functional Collaboration: Acted as a key liaison between technical teams and senior leadership, ensuring alignment of A.I. strategies with business objectives and fostering a collaborative, innovative environment. 
Scaled Agile & A.I. Development: Spearheaded agile methodologies in A.I. and data science, overseeing teams responsible for A.I. model development, which positioned Aetna as a leader in digital health and data-driven insights.
 

Director Research & Data Science, DoubleVerify         
Innovation in AdTech: Directed technology research initiatives in machine learning, algorithmic development, and big data, positioning DoubleVerify as a pioneer in ad verification technology. 
Data-Driven Fraud Detection: Built A.I. and data science capabilities to enhance fraud detection and campaign performance, contributing to the company’s market leadership. 
Product Enhancement: Partnered with product teams to design and implement new A.I.-driven features, boosting the company’s innovation pipeline and competitive differentiation.

Senior Technology Consultant, North Point Solutions   
Digital Solutions: Delivered tailored digital and data analytics platforms for clients, including major media companies, significantly enhancing their digital product capabilities and customer engagement. 
Project Leadership: Managed 100+ high-value technology projects, spanning application development, data architecture, and digital solutions, leveraging a wide range of data science and software skills.

 

 

New York University

Bachelor of Science, Information Systems Management

Johns Hopkins University

Graduate Certificate (M.S. equivalency) Data Science

John Jay College

Certified Tactical Emergency Medical Technician

Global Patent: System and Method for Identifying Non-Human Access to Digital Content (US20150379266)  

SUMMARY OF THE INVENTION

The present invention provides improved and effective techniques that can be used to identify illegitimate non-human user software that is accessing content. For example, a method of identifying non-human users of computerized devices may comprise receiving information relating to attributes relevant to the indication of non-human user software activity from a plurality of computerized devices, wherein at least a portion of the computerized devices are known to be infected with at least one non-human user software, and at least a portion of the computerized devices are known not to be infected with a non-human user software, selecting as factors a plurality of the attributes based on a correlation of the attribute with the presence of non-human user software activity, computing a score for each factor indicating a likelihood of non-human user software infection for that factor, and computing a combined score based on the scores of the individual factors.

 

Cloud Architecture, A.I./M.L. (TensorFlow, Scikit-learn), Python, SQL, Spark, Kubernetes, Scala, Kafka, Data Visualization (Tableau, Power BI), dbt, Biomedical Analytics, Agile Development, Healthcare Technology, Risk Management, Financial Data Systems