Prem Swaroop
Chief Data and Ai Officer @Dover Corporation
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WORK HISTORY
Chief Data and Ai Officer @Dover Corporation
Boston, MA, US
Established and now managing the Corporate Data and Analytics function across fourteen business units with a budget of US$10M; Setup product organization to embed AI/ML in IoT solutions; Launched 12 data products; Delivered over $50M value annually- Conceived and refined the business strategy for leveraging data and AI at scale through the course of six years, interacting with C-suite stakeholders, within the organization as well as customers and suppliers; Engaged with over 25 consulting firms, academia, startups, and experts to bring in industry best practices- Translated Strategic Plans for the various divisions each year into Annual Operating Plans for Data & Analytics function; Executed on over 50 Program Charters; Facilitated and / or chaired key stakeholder meetings, and Quarterly Business Reviews (QBRs) for monitoring progress- Developed and deployed models for Statistical Inventory Reconciliation (SIR) for underground fuel storage tanks; Obtained Environmental Protection Agency (EPA) certification and patent for ESG reporting (clean tech); Models serve over sites for weekly leak detection- Convened and chaired 15 Community of Practice (CoP) workshops for implementing AI in advanced manufacturing, with over 100 R&D technologists and engineers participating- Impact: Net new revenue generation on eCommerce of 7% year on year,$300M working capital impact; Filed 15 patents
EDUCATION
The Scindia School
,
SGSITS
BE, IPE
Indian Institute of Science (IISc)
M. Tech., Management
University of Maryland - Robert H. Smith School of Business
Doctor of Philosophy (Ph.D.), Operations Management
SKILLS
ABOUT PREM SWAROOP
Leader with consistent track record of establishing and globally scaling Data AI and Information Technology (IT) functions; Keynote speaker and governing body member at several industry and academic conferences; Author and patent holder.Developed AI products, with global teams of full-stack SaaS and PaaS engineers and Subject Matter Experts (SMEs) throughout the career in Consumer-Packaged Goods (CPG), FinTech, and Advanced Manufacturing industries.Delivered on supply chain and commercial transformation programs leveraging Customer Data Platforms (CDP), Master Data Management (MDM), and Advanced Analytics.#Business Strategy Agile Project Management #Vendor Management #Business Intelligence (BI)#Data Literacy #Data Governance #AI/ML/DL #Industrial IoT #Cloud Computing (AWS, Azure, GCP)#Edge Computing #User Experience (web, desktop, mobile)# Enterprise IT Systems & ERP Data Engineering #Enterprise Data Warehouse Enterprise Application Integration (EAI) ETL #MDM #Operations Research #Statistical Methods #C#,#JavaScript, R, Python, Perl, UNIX Tensor Flow, PyTorch, Keras
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