Managing Consultant, Business Rules Analyst Resume

SUMMARY

Experience using big data, analytics, data mining, decision models, rules, and processes to help companies disrupt competition, seize market share, ensure compliance, prevent fraud, compete on knowledge, and rule the world .
Regulatory Compliance Digitization Lead enablement and adoption of new technologies such as AI, rule engines, machine learning, analytics
Business Requirements Business Analysis Decision Modeling Establish architecture governance policies, processes, rules, and data User Experience Architecture (UX)
Business Process Management Translate Business Requirements to Technical Specifications
Operational Decision Management Business Decision Requirements Real - Time Decision Engines Decision model risk management Decisioning Strategy Architect FICO Blaze BRMS rules nack for finding innovative ways to simplify rules, improve processes, and transform BIG DATA into actionable decisions.

TECHNICAL SKILLS

AI ML Analytics Tools: Created decision models, decision services and rule engines using data output from machine learning IT teams who use R, Python, SAS, SPSS, No - SQL, Hive, Hadoop, MapReduce, CPLEX.
Rules Management (BRMS, BRE): Designed and created solutions using AI Business Rule Engines IBM ODM ILOG JRULES, ODM DSR/DSI, PegaRULES PRPC, OPA, CleverPath AION, FICO Blaze, JBoss BRMS DROOLS.
Decision Management (BDM, DMN, TDM): Created models using Decision Modeling Notation, data quality models, and decision architecture IBM Blueworks Live, Sapiens DECISION, The Decision Model, DecisionsFirst, Flying LogicProcess Management (BPMN): Pega BPM, PegaRULES, IBM BlueWorks Live, IBM BPM, and OpenSpan RPA.
Process Modeling (BPMN): Business Process Modeling Notation, Visual Modeler, Visio, Oracle Designer, Activiti.
EA, PPM, PM, and Agile tools: Troux, Planview Enterprise, Projectplace, Casewise, iGrafx, NoMagic, Sparx, Rally.
EA Modeling & Simulation: IBM Rational Software Architect Designer (RSAD, System Architect, Telelogic, Popkin).
Requirements Management: Rational Rose, Rational Unified Process (RUP), IBM ReqPro, DOORS, UML.
Data Modeling: Conceptual, Logical Modeling. ERWin, ER/Studio, Sparx EA, Toad, SAS, Tableau. Oracle, DB2, SQL.
ERP: Oracle, SAP ERP, ECC; GL AP AR PO, Billing, Chargeback, Rebate, Pricing, Vistex, Vendor Compliance.
Agile Scrum: JIRA, Rally, Confluence, Quality Center, HTML5, CSS, CI/CD.
Document Management (CMS, CRM, CEM, CCM, ECM): OpenText Documentum (Vignette, Exstream), SharePoint.
Microsoft Office (MS): Project, SharePoint, Word, Excel, Visio, PowerPoint, Access. Advanced/power user.

PROFESSIONAL EXPERIENCE

Confidential

Managing Consultant, Business Rules Analyst

Responsibilities:

Led business analysis, systems analysis, enterprise architecture, and knowledge management consulting projects.
Designed BRE web services, flows, interfaces, and integrations for client-server, cloud, mobile, and legacy systems.
Delivered Fortune 500 AI solutions, rule engines, expert systems, machine learning systems and AI consulting services.
AI consulting projects: AI, ML, ES, CBR - Cognitive systems, machine intelligence, inference engines, production systems; case-based, deductive, probabilistic, deterministic and heuristic reasoning; AI algorithms, NLP, chatbots, predictive analytics, prescriptive analytics, neural networks, fuzzy logic, and deep learning.
Developed the Confidential ® AI Decision-Making System framework for modeling interactive AI virtual agent question answering systems, and real-time enterprise-wide decision engines (such as IBM Watson, IBM ODM, PegaRULES).
Established partnerships with AI business rule engine vendors: IBM ILOG, Pega, Haley, InRule, MindBox, XpertRule.
Created the Confidential ® VISION™ AI BRE Business Analysis Methodology, used by three of the Fortune 10.

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