1. Establish analytics content for MLaaS2. Define and design AI/ML Suite – a platform for rapidly developing and operating enterprise AI/ML applicationAI/ML Application – pre-built SaaS applications for rapidly addressing high value use casesRapid AI/ML aid business analytics approach – Low-code/No-code analytics for data scienceFor Industry 4.03. Digital Twin/Asset Avatar design and co-creation4. Patents and IP protection. Data Science team has filed 6 patents… Show more 1. Establish analytics content for MLaaS2. Define and design AI/ML Suite – a platform for rapidly developing and operating enterprise AI/ML applicationAI/ML Application – pre-built SaaS applications for rapidly addressing high value use casesRapid AI/ML aid business analytics approach – Low-code/No-code analytics for data scienceFor Industry 4.03. Digital Twin/Asset Avatar design and co-creation4. Patents and IP protection. Data Science team has filed 6 patents acorss analytics areas of analytics solution core, AutoDEPPA2, Sensor fusion, AutoML 5. Define AI/ML IoT Roadmap and planning6. Define Sensor Roadmap for Image, Video, Lidar, Vibration, Acoustic and Temperature Show less

Establish Analytics Group1. Establish data science charters and visions and IoT Analytics Roadmap2. Evaluate/collaborate Business, Analytics, Capability and Technology. For Business: Digital Value Enablement and Design Thinking. For Analytics: IoT analytics value chain and Composable Analytics Artifacts. For Capability: Establish Data Science Community and Design Thinking. For Technology: MLaaS, Lumada suites enabled Solutions3. Standardize and Enhance Analytics methodology for IoT… Show more Establish Analytics Group1. Establish data science charters and visions and IoT Analytics Roadmap2. Evaluate/collaborate Business, Analytics, Capability and Technology. For Business: Digital Value Enablement and Design Thinking. For Analytics: IoT analytics value chain and Composable Analytics Artifacts. For Capability: Establish Data Science Community and Design Thinking. For Technology: MLaaS, Lumada suites enabled Solutions3. Standardize and Enhance Analytics methodology for IoT – DEPPA2. Create IoT Analytics Value Chain and IP harvesting prioritization4. Develop IoT analytics value chain: Anomaly Detection, Failure Prediction, Remaining Useful Life, Operator Skill Evaluation, Scheduling Optimization and Logistic optimization5. Establish Analytics Solution Core Standard for IP standardization and harvesting6. Establish Data Science community Show less

1.Lead data Scientist for a large computer accessories company engagement focusing on managing/optimization of computer accessories dynamic pricing in amazon market space across merchants.2. Lead data scientist for a major technology company engagement focusing on supply chain analysis to minimize line stops, predict supply chain disruptions, test suite optimization, on-time shipments, defect root cause analysis by contract manufacture and comportment suppliers.3.Lead data Scientist for… Show more 1.Lead data Scientist for a large computer accessories company engagement focusing on managing/optimization of computer accessories dynamic pricing in amazon market space across merchants.2. Lead data scientist for a major technology company engagement focusing on supply chain analysis to minimize line stops, predict supply chain disruptions, test suite optimization, on-time shipments, defect root cause analysis by contract manufacture and comportment suppliers.3.Lead data Scientist for a large pharmaceutical company engagement focusing defect volume prediction across international sites, duplicated tickets consolidations, and root cause analysis Show less

Enterprise Software Architect for a large trading company engagement focusing on Enterprise wide new account opening software architecture. Redesign current procedural objects hybrid architecture to RESTful and SOA orchestration architecture.