James Decker

James Decker Email and Phone Number

Senior Data Scientist @ Apixio
James Decker's Location
Cincinnati, Ohio, United States, United States
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About James Decker

Primary Goal: Enabling businesses and non-profit organizations to acquire knowledge through data and make efficient data-based decisions.General Skills: Recommending, designing, and implementing data science systems and models. Managing complex knowledge-based systems that return value to organizations. Designing, implementing, and validating statistical and knowledge-based analyses and software systems for competitive advantage. Experience Summary: 30+ years developing software systems and tools for analyzing human data (clinical health, attitude, sensory, opinion, and consumer-behavioral) data with advanced methods (e.g., Regression models, Structural Equation Models, Bayesian belief networks, Item Response Theory, preference maps). 25+ years developing quantitative systems in research environments. People & project management in these contexts. Broad,cross-discipline education (Psychology, Computer Science). Extensive work-with-experts-in-field experience. Highly developed communications skills and experience making in-depth presentations of results. Specialties: Text Analytics, Predictive data modeling, Segmentation, Psychometrics, Quantitative analysis, Regulatory compliance, Statistical system building. Analytic/Scientific software architecture & design. System Validation and Unit-Testing. Extensive use of specialized knowledge-based software for text-mining and advanced machine learning. Primary application areas : Consumer and employee understanding (human motivation), consumer sensory research, Clinical research, Analysis of medical record and insurance data. Additional Keywords: Data Science, Business intelligence, Machine Learning, Text analytics, Measurement theory, Cognitive theory, Sensory theory, Validation. Primary Software tools SAS, SPSS, R, BayesiaLab, LISREL, Python, PolyAnalyst. Other specialized languages & platforms.

James Decker's Current Company Details
Apixio

Apixio

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Senior Data Scientist
James Decker Work Experience Details
  • Apixio
    Data Scientist: Natural Language Processing
    Apixio Sep 2020 - Present
    San Mateo, California, Us
    Responsible for development of NLP Clinical Record Analysis Engine global and client-specialized product functionality. Apixio's Natural Language Processing (NLP) AI system (acquired from SyTrue and ClaimLogiq) enables analysis of unstructured clinical medical record data. The engine uses specialized rules, standardized code libraries (e.g. SNOMED, RXNORM, LOINC), classic NLP methods, and machine learning (ML) to extract critical data (e.g., lab data, medications records, diagnosis, treatment history, symptoms) from unstructured clinical medical records. We are currently evaluating a replacement model developed for Sepsis using generative AI (ChatGPT 4) and Azure Cognitive Services and Text Analytics for Health. This system uses Python and was developed in the Azure (Microsoft) Data Studio machine learning environment. SyTrue, Inc., an NLP-based software product company for medical record analysis was acquired by ClaimLogiq, Inc., summer, 2022. ClaimLogiq merged with Apixio in June, 2023. My role as a Data Scientist began with SyTrue. Apixo (originally created from Centene, Inc. in 2023) markets a collection of AI platform tools for value-based patient care.
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  • Decker Analytic Insights Limited
    Principal Data Scientist - Health, Opinion, Behavioral, Medical, Consumer And Insurance Data
    Decker Analytic Insights Limited May 2018 - Sep 2020
    Creating data science systems and models to advance efficiency, understanding and data-based decision-making. Specialization in applied data science modeling of healthcare information, consumer opinion data, survey data, advanced statistical systems software (open-source and vendor-supplied), segmentation processes, text analytic methods for data science, data science/scientific systems software development architecture and project management. Primary Client Work (2018-2020): TriHealth, Inc. (Cincinnati Hospital Network) on segmentation modeling (R, RStudio) subcontract with Intervision, Inc. (Sacremento, CA), developing machine learning capabilities for predicting time-based goal metrics based on survey and supplemental data for a major California state health insurer (Python, Jupyter NB, other tools used). 2013 Client work for Luxottica, Inc. performed by Decker Analytic Insights via subcontract relationship with DataBrains, Inc. (Jacksonville, FL). System/Language Tools Used: Python, R, SAS (including Enterprise Miner), IBM-SPSS (including Modeler), KNIME, RapidMiner, BayesiaLab, PolyAnalyst. Specialized skills in Bayesian causal modeling, segmentation, text-analytics, time-series forecasts and text-based data mining using various tools.
  • Cotiviti
    Data Scientist - Text Analytics / Modeling
    Cotiviti Oct 2016 - May 2018
    South Jordan, Ut, Us
    Data Science analysis work focused on combining different sources of medical insurance claim-related data to predict claim errors. Text-based and quantitative analytic methods were combined to create models. Selected text data and patient laboratory measures were extracted from patient medical records and joined with patient claim data to identify with high accuracy probability of certain types of recoverable errors. Specific text data was extracted in correspondence to key concepts evaluated by experts in claim auditing, with machine learning methods then applied to combined data. Also worked with retail customer data to predict value weighted claim collectability and developed models to predict claim concepts based on training set rule assignments. Work used R, Python, Hadoop, h2O and the PolyAnalyst data/text mining environment provided by Megaputer, Inc. Learning projects included developing facility with Spark and the Stanford Natural Language Processing (NLP) machine learning packages.
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  • Data Intensity, Llc
    Data Scientist / Principal Consultant
    Data Intensity, Llc Jul 2015 - Jun 2016
    Covington, Kentucky, Us
    Using SAS, SPSS, RapidMiner, BayesiaLab, R and a variety of other software systems and tools to develop and provide predictive analytic solutions. Recent project work: using RapidMiner and R to simplify and improve 'fuzzy matching' and identification of potential advertisers at a major Cincinnati-based media-company. Also provied pre-sales marketing support (various clients), assistance with healthcare data warehouse project work and internal training (Bayesian Belief Networks).
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  • Cincinnati Children'S Hospital Medical Center
    Lead Database System And Project Developer - Divison Of Biostatistics And Epidemiology
    Cincinnati Children'S Hospital Medical Center Mar 2014 - Jun 2015
    Us
    Created a roadmap document based on a year-long analysis of needs and developing collaborative statistical programming processes and software tools based on this analysis. This work was performed to satisfy FDA regulatory data standards and meet anticipated requirements (e.g., CDISC-SDTM), Created SAS macros and other reusable SAS code modules for medical research applications. Collaborated with personnel in CCHMC Biomedical Informatics department to create and maintain a large-scale database of newborn health data. Collaborated with research statisticians, biomedical informatics researchers on other grant-supported research projects.
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  • Luxottica
    Lead Data Scientist
    Luxottica Oct 2013 - Mar 2014
    Milan, Italy, It
    Using SAS (STAT, JMP, BASE, SQL, Enterprise Guide, Enterprise Miner) and Aginity Workbench to develop Customer Relationship Management models (IBM-Netezza-based data warehouse) and analyze customer market data to meet business objectives.
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  • Decker Analytic Insights
    Principal Data Scientist - Predictive Analytics Capability Developer
    Decker Analytic Insights May 2013 - Sep 2013
    Subcontracted to Data Brains, Inc. at Luxottica Retail North America: Used SAS (SQL, Enterprise Miner, Enterprise Guide) to develop Customer Relationship Management (Netezza-based data warehouse) capabilities as part of Data Warehouse building effort. Role involved translating and improving modeling methods.Skills offered in: (1) Data analytics, data-mining, system and model-building to advance business efficiency and data-based decision making (Rapid-Miner, SAS, SPSS and other tools) (2) Developing advanced measurement methods to analyze decision processes, opinion formation, consumer choice, financial behavior, market and human capital data, (3) Providing "Voice of Customer" analysis, and (4) Advising and analysis using text analytic/text-mining technology in combination with other measurements.Presenter: “Applications of Text Analytics in Products Research” Talk given at 11th Annual Text and Social Analytics Summit, 2013, June 5-6, Boston, Massachusetts (sponsored by Text Analytics News)
  • Procter And Gamble
    Senior Scientist - Health Care Analytics (Causal Modeling / Consumer Data Understanding)
    Procter And Gamble Jun 2005 - Nov 2012
    Cincinnati, Ohio, Us
    Consumer Quantitative Analytics Group - Quantitative Sciences : Coordinated with Sensory Sciences and Product Research Functions in R&D. Supporting product development efforts in P&G Oral Care and other areas using a variety of quantitative techniques (e.g, perceptual mapping, KANO, statistical modeling of brand-equity data, data-mining of historical study data). Providing analysis, insights, and automation of quantitative and text-based consumer data. Expertise in human response to measurement, questionnaire design, psychometrics, consumer modeling. Applying text analytic methods (machine-learning, statistical-reduction, and rule-based) to assess unstructured consumer language in 'big data'​ context. Deep knowledge of psychology of questionnaire response. Improving questionnaires by application of psychometric statistics (including Item Response Theory, IRT, factor analysis techniques). Statistical modeling using Bayesian Belief Networks (BayesiaLab), Structural Equation Models (SEM), Partial Least Squares (PLS) and other methods. Leader of team investigating Text analytics and tools within P&G. Originator and co-designer of Questionnaire Design Tool (QDT), an HTML and 'R'​ based SaaS tool used to select 'best questions' for questionnaires using psychometric and predictive statistics. Use of SAS, SPSS, SAS/JMP, LISREL, AMOS, Excel, and other languages/tools (e.g. SQL) to translate analysis into business knowledge. Familiar with structured, semi-structured, and unstructed databases.
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  • Procter And Gamble
    Group Leader - Statistical Computing Group / Senior Scientist
    Procter And Gamble Dec 1997 - Jun 2005
    Cincinnati, Ohio, Us
    Statistical Computing Group Leader, Biometrics and Statistical Sciences Dept., Regulatory and Clinical Division, P&G Pharmaceuticals Departmental representative for compliance with 21 CFR 11 (Electronic Records/Electronic Signatures).Project Manager / Team Leader responsible for development, design, implementation, validation, documentation of STARS (Versions 1 – 3) to enable SAS statistical data reporting to FDA & other regulatory agencies based on data in Oracle Clinical DBMS and other inputs. STARS replaced and extended P&G's DTG System (see below) with significantly reduced administrative costs. STARS is a "commercially viable and validated" system for creating NDA-ready reports from database inputs. Responsible for other Statistical Computing initiatives: e,g, SPSS/Visual Basic program for based modeling of consumer data, Laboratory testing analysis system, co-design of clinical data warehouse, GRID computing pilot. Also responsible for ensuring P&G Pharmaceutical systems satisfied regulatory requirements. Co-author and speaker - PharmaSUG conferences 2001, 2003 (see publications below) and at national regulatory conference.
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  • Keane
    Principal Consultant - Sas Software Development / Account Manager
    Keane Dec 1993 - Dec 1997
    Principal Consultant DTG Development Team at P&G Pharmaceuticals. With P&G IT and R&D, developed technical specification, designed and implemented Data Table Generation (DTG) system to automate generation of statistical summaries/graphs of pharmaceutical clinical trial outcomes for submission to US FDA and other agencies. DTG was a multi-million dollar client-server system using Microsoft Visual Basic, HP-UX (Unix) SAS for reporting, and ORACLE Clinical (data source). Responsible for design and development of SAS macros, interface components and communications components for deployment in UNIX. (DTG was replaced by STARS). Account management responsibilities for 6-10 other consultants.
  • Spencer And Spencer Systems, Inc.
    Principal Consutant
    Spencer And Spencer Systems, Inc. Oct 1992 - Dec 1993
    SAS System Code - Operations Research Applications - Procter and Gamble Co., Health and Beauty Aids – Developed SAS code for distribution inventory target setting and ‘brand master’ (distribution) systems for enhancing inventory control. Designed and wrote over 100 programs in SAS, SAS/AF and SAS/SCL providing interactive subsystem for updating.
  • Computer Sciences Corporation
    Senior Analyst / Artificial Intelligence Group At U.S. Epa
    Computer Sciences Corporation May 1987 - Oct 1991
    Global, Us
    In team environment, designed and developed Expert Systems on behalf of US EPA, Risk Reduction Engineering Laboratory, Cincinnati, OH / Co-Managed transfer of major EPA Statistical Systems from US-EPA Primary Computing Facility in Research Triangle Park, NC to US-EPA Laboratory facility in Cincinnati (included capacity analysis, system performance management). Main system designed and developed by Expert Systems group (ARARs) was nationally recognized for excellence in providing Cost/Benefit advantages at Object World Conference. With EPA scientists, co-authored various publications (see publications below)
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  • Ags Informations Systems
    Senior Software Engineer
    Ags Informations Systems Dec 1985 - May 1988
    Consultant to the Procter and Gamble Company, Beverage Product Development. Project work included development of: (1) beverage consumer comment database and analysis system, (2) a beverage use/market-share database system, and (3) a test product questionnaire design / analysis / reporting system. Consumer comment system selected as model for an enhanced company-wide system. Project leadership role in development of interactive PC-SAS system (directed work of three off-site programmers; project work at fixed price delivered under-budget).
  • Kroger Company
    Data Analysis / Management Consultant To Human Resource Department
    Kroger Company Mar 1982 - Jul 1983
    Designed analytic methods and performed statistical analysis using SAS of company employee (line and management) opinion data, analyzed results, and reported results to management. Worked with management within administrative and human resources groups to develop survey instruments to measure employee satisfaction (with benefits programs, management programs). Written and formal presentations made to high-level Kroger management groups. Planned and implemented improved methods for recording and maintaining historical files.
  • Computer Task Group
    Associate Systems Engineer
    Computer Task Group Jan 1981 - Feb 1982
    Amherst, New York, Us
    Developed programs (Assembler, FORTRAN) for collection/analysis of spectrophotometric data and a quality-control monitoring system (HP-1000) at Merrell-Dow Pharmaceutical Laboratories. Re-Developed statistical optimization program package used to determine mill production schedules for Bethlehem Steel Corporation (FORTRAN-IV, IBM 370 environment). Used (early version) of SAS software to analyze employee opinion data at Kroger Co.
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  • Comten (Later Comten-Ncr Inc.)
    Commercial System Software Technical Writer
    Comten (Later Comten-Ncr Inc.) Mar 1979 - Nov 1980
    Wrote/edited programmer reference, operator reference, and general information manuals for COMTEN-NCR's NCP (Network Control Program) and PEP (Partitioned Emulation Processing) software used with COMTEN Mainframe Network Front-End Processors. Performed test network systems generations using NCP and PEP software.

James Decker Skills

Lifesciences Text Analytics Statistical Modeling Software Development Software Project Management Software Design Software Documentation Consumer Behaviour Consumer Data Analysis Sensory Evaluation Market Research Psychometrics Data Analysis Statistics Analytics Business Intelligence Product Development Design Of Experiments Sas Programming Crm Databases Quantitative Analytics Data Warehousing R&d Segmentation Big Data Management Leadership Data Analysis Data Mining Project Management Sas Sql Consulting R Strategy Enterprise Software Business Analysis Cross Functional Team Leadership Data Modeling Data Science

James Decker Education Details

  • University Of Illinois Urbana-Champaign
    University Of Illinois Urbana-Champaign
    Computer Science - Artificial Intelligence / Machine Learning
  • University Of Minnesota
    University Of Minnesota
    Math. Courses
  • Indiana University Bloomington
    Indiana University Bloomington
    Cognitive Psychology
  • Grinnell College
    Grinnell College
    Psychology / Philosophy
  • Marietta Senior High School
    Marietta Senior High School
    Scientific/Academic

Frequently Asked Questions about James Decker

What company does James Decker work for?

James Decker works for Apixio

What is James Decker's role at the current company?

James Decker's current role is Senior Data Scientist.

What is James Decker's email address?

James Decker's email address is ja****@****ail.com

What is James Decker's direct phone number?

James Decker's direct phone number is (212)-497*****

What schools did James Decker attend?

James Decker attended University Of Illinois Urbana-Champaign, University Of Minnesota, Indiana University Bloomington, Grinnell College, Marietta Senior High School.

What are some of James Decker's interests?

James Decker has interest in Philosophy Of Science, Social Services, Cognitive, Sensory Psychology, Computation Theory, Environment, Education, Avid Reader, Neurophysiological, Philosophy.

What skills is James Decker known for?

James Decker has skills like Lifesciences, Text Analytics, Statistical Modeling, Software Development, Software Project Management, Software Design, Software Documentation, Consumer Behaviour, Consumer Data Analysis, Sensory Evaluation, Market Research, Psychometrics.

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