Candidates About

Paul V. Matsiras, PhD

Senior Consultant with over 20 years of experience working in long-term strategy, Big Data (BD), High Performance Computing (HPC), Machine Learning (ML), Data Science and Advanced Analytics. Improves client products and services by using BD/HPC clusters, onboarding new data sets, creating and maintaining complex data models, as well as leveraging advanced analytics tools across diverse industries and functions.

·         Experience in the architecture, development and delivery of scalable solutions - 20 years

·         Strategic planning with proven PM track record and experience on transformative programs -18 years

·         Solid understanding of design & analysis of ML/data science algorithms and data structures – 18 years

·         Built and managed effective working relationships with internal and external stakeholders -18 years

·         Executive leadership of research and business line embedded technology areas -16 years

·         Strong “can-do” customer focus and management of client expectations, with the ability to interface directly with customers at an executive level when required.

·         Able to multi-task, work with clients to understand requirements, control scope, and stay on schedule and budget in a customer facing/consulting role.

Systems Design & Implementation - Analytical & Problem Solving

·         Hadoop Stack experience: HDFS, MapReduce, Pig/Hive, Impala, HBase, MongoDB, Spark, Oozie, Falcon, etc

·         Hadoop configuration management concepts and tools: Ambari, Cloudera Manager, etc.

·         Data Warehouse (DW), Business Intelligence (BI) and ETL tools: Netezza, Teradata, Exadata, Ab Initio, Informatica, TM1, SAP Data Services, SQL Server Integration Services (SSIS), IBM Infosphere

·         Database platforms: NoSQL, Oracle, DB2, SQL Server, MongoDB, Neo4j, Gephi, etc.

·         Advanced analytics and visualization tools: Business Objects, Cognos, Tableau, QlikView, Microsoft BI

·         Big data and statistical analysis experience including results interpretation and presentation: R, Python

·         Software development in a Linux programming environment: Java, Scala, multi-threading/concurrency

·         Descriptive, predictive and prescriptive analytics, Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), text analytics, data mining, unstructured data parsing and sentiment analysis

·         Neural network libraries: TensorFlow, Theano, Caffe, etc.

Project Management - Compliance Program Development

·         Data workflows, governance, authentication, authorization, audit, data protection, provision, management, monitoring and scheduling

·         Dimensional data modeling, process modeling, enterprise data modeling, architecture, and product management reporting

·         Cloud technologies: Azure, AWS, Google, IBM Bluemix, etc.

·         Accessing cloud based web technologies via web services APIs

Privacy & Data Protection - Governance & Performance Measurement

·         Application security technologies and approaches: Knox, Ranger, etc.

·         Led, mentored and grew 12 to 64 multi-disciplinary staff

·         Direct operating budget responsibility for $3-$80 million

·         Ph.D. in Systems Science with major in Measurement and Information, The City University. London, England.

·         Masters of Science in Engineering with major in Computer Science, Univ of Pennsylvania. Philadelphia, PA.

·         Bachelor of Science with major in Business Administration., Cheyney University of Pennsylvania. Cheyney, PA.

Completed 18 Presentations including 14 Published Research papers. Sample listing includes:

·         Building Quality Through Pay-for-Performance (P4P) Incentives - A 360 Degree Approach

·         The use of technology in the changing world of healthcare

·         Document Management: A global strategic tool for the drug development process

·         Need for a National Drug Utilization Review (DUR) Criteria Knowledgebase

·         Medical CANDAs as a regulatory tool for clinical data review

Corporate Health Initiatives Consulting (CorpHI)                                                          Jun 07-Present

Senior Principal Managing Consultant, Big Data and Advanced Analytics

·         Advises clients in defining/executing their market strategy and financial objectives by optimizing the use of big data, advanced analytics (including text analytics) and business intelligence; spearheads solutions that provide different capabilities to different user classes –i.e., developers, end-users, analysts, managers, executives; and steers actionable insights to the right people at the right time. 

·         Harnesses and applies data effectively to ensure clients achieve their objectives by exploiting structured and unstructured data; directs data collection from various systems and distributed processing systems (event collection and storage, data consolidation, etc.); arranges for big data processing (Hadoop, Pig, Storm, ElasticSearch, etc.), data storage and warehousing (traditional dimensional modeling/OLAP, NoSQL, Sqoop, hybrid approaches), and data visualization (Hive).

·         Processes, combines and analyzes collected data, and builds data/text mining tools that enable client product and management teams to gain insights into this data. Applies business use cases and activity diagrams that leverage newly available High Performance Computing (HPC) technology, data science, as well as machine and deep learning techniques for individualized predictive modeling. Refines quantitative and data-driven approaches that accelerate client product roadmap definition and marketing strategy development by 200%.

Safeway Inc.                                                                                                                             May 05 - May 07

Head, Analytics

·         Championed the overall strategy for developing a big data infrastructure for HR Benefits and was responsible for articulating and driving the execution against an employee base of approximately 500,000 lives.

·         Devised predictive modeling tools, developed supplemental business intelligence advanced algorithms and automated data quality systems to identify those individuals that were statistically more likely to require disproportionate amounts of healthcare resources.

·         Architected and deployed integrated advanced analytics solutions for targeted disease states that reduced healthcare costs by 16.3%.

New York University School of Medicine                                                                                  Sep 04 - Mar 05

Director, Operations Analytics

·         Oversaw the development and implementation of a formal clinical research organization at NYU’s Medical Center. Upgraded the technical infrastructure to keep pace with the anticipated growth in research and automated technologies that provided computer-assisted support to 1,650 multi-center trials, adverse event monitoring, enrollment metrics, etc.

·         Renovated a clinical research cost center into a revenue-generating center supporting 450+ clinical trials that generated five million dollars of revenue.

Medco Health Solutions, Inc.  (Now Express Scripts)                                                   Mar 99 - Aug 04

Senior Director, Analysis and Business Research

·         Identified strategies that minimized or eliminated potential barriers in SAP Data Services data collection, analysis, and report preparation/presentation.

·         Directed a Six Sigma sixteen-person divisional initiative that centralized Informatica business rules, increased speed, and improved organizational effectiveness and global scalability when developing client post-marketing studies. The effort emphasized the effective use and communication to healthcare professionals of self-administered surveys and eased access to key management data from one source of global information.

·         Optimized advanced analytics, increased departmental speed (300%), flexibility and operational efficiency.

SmithKline Beecham Plc. (now GlaxoSmithKline)                                                                    May 95 - Feb 99

Director, Reporting Services

·         Supervised the analytic team in ensuring that there was a continuous assessment and improvement of data science tools and processes to support current and emerging business requirements and data quality needs.

·         Spearheaded research results and consulting activities to directly support product sales and marketing efforts.

·         Accomplished 25% increase in code development productivity and a 45% decrease in operational expenses.