Upendra Tiwari

Upendra Tiwari

Associate (Wireless-Blackberry Team)

Followers of Upendra Tiwari5000 followers
location of Upendra TiwariDelhi, India

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  • Timeline

  • About me

    Data Science | AI/ML | LLM & Generative AI | Fine-Tuning & RAG | Telecom AI | NWDAF | People & Research Analytics | Certified ScrumMaster | 3GPP, 5G, & 6G | Digital Transformation | R&D Analytics | Emerging Tech

  • Education

    • Jiwaji University

      2003 - 2007
      Bachelor of Engineering - BE
    • Jaypee University of Information Technology

      2011 - 2013
      Master of Technology (M.Tech.)
  • Experience

    • Reliance Communications

      Aug 2007 - Jul 2008
      Associate (Wireless-Blackberry Team)
    • Ericsson

      Aug 2008 - Aug 2010
      Business Support System Engineer
    • Effectual Services

      Oct 2013 - Feb 2014
      Associate
    • Thomson Reuters

      Feb 2014 - Jan 2017
      • Senior Research Associate

        May 2016 - Jan 2017
      • Research Associate

        Feb 2014 - Apr 2016
    • Clarivate

      Jan 2017 - May 2024

      Experienced R&D Analytics Leader | AI/ML Specialist | Innovation & Patent Analytics ExpertAs a Data Science Manager with nearly a decade of experience in research and innovation analytics, I’ve been instrumental in overseeing client engagements and spearheading R&D analytics initiatives at Clarivate. I have a strong track record of developing advanced AI/ML models that empower researchers, innovators, and businesses to make strategic, data-driven decisions.During my time at Clarivate, I pioneered an advanced R&D analytics framework leveraging K-means clustering to identify emerging trends within specific technological domains, providing actionable insights to stakeholders. I also engineered sophisticated recommendation models using KNN clustering to enhance search capabilities, offering a deeper understanding of patent landscapes and forward references.Additionally, I conducted in-depth analyses of 3GPP standards and working groups, utilizing calibrated recommendation models to pinpoint next-generation technologies. My work in automating patent categorization through hyper-filtering techniques and developing regression models for optimizing human resource allocation has streamlined complex R&D processes. These solutions have not only uncovered licensing opportunities and mitigated infringement risks but also elevated the overall efficiency and strategic impact of R&D endeavours.With expertise spanning patent analytics, machine learning, and research forecasting, I’m committed to driving innovation and helping organizations harness data to navigate the ever-evolving technological landscape. Show less

      • Subject Matter Expert

        Dec 2022 - May 2024
      • Senior Research Associate

        Jan 2017 - May 2024
    • Capgemini Invent

      May 2024 - now
      Manager- Data Science

      10+ years of hands-on experience with R&D, People Analytics, HR Transformation.AI-led transformation of operations & business processes to drive automation Architecting & delivering AI-driven solutions for multiple clients, to address their innovations and PA portfolio .Lead AI Projects, with active managementDemonstrated drive & ability to take up complex challenges and see them through execution, for desired end-results.Lead multiple projects of Technology forecasting and landscaping Certified ScrumMaster (CSM) with experience in agile project management, skilled in facilitating team collaboration, sprint planning, and delivering high-quality results in dynamic environments. Show less

  • Licenses & Certifications

    • Connected Manager

      Harvard Business Publishing Corporate Learning and Capgemini
      Nov 2024
    • LEAN SIX SIGMA

      THOMSON REUTERS CORPORATION PTE. LTD.
      Jan 2015
    • Scrum Master Certified (SMC)

      Scrum Alliance
      Aug 2024
    • Generative AI 101

      Capgemini
      Sept 2024
    • Generative AI : AWS Bedrock

      Capgemini
      Sept 2024
  • Honors & Awards

    • Awarded to Upendra Tiwari
      Value Creator at Capgemini Capgemini Aug 2025 Recognized as a Value Creator at Capgemini (Apr–Jun 2025) for driving strategic initiatives in AI/ML, Generative AI, and Large Language Models (LLMs). In my role as a Program Manager, I focus on delivering AI-driven solutions that enhance efficiency, optimize processes, and accelerate business transformation. This recognition underscores Capgemini’s commitment to innovation, collaboration, and creating measurable value for our clients.
    • Awarded to Upendra Tiwari
      Team Of The Quarter -Q4 Clarivate Analytics Jan 2017 Advancing 5G and 3GPP AI/ML Technologies: Research, Patents, and Technological ForecastingThe fifth-generation (5G) wireless network is a transformative technology that has redefined the landscape of global communication. Its key features include ultra-reliable low-latency communication (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communication (mMTC). The fusion of 5G with Artificial Intelligence (AI) and Machine Learning (ML) has opened the door to innovative… Show more Advancing 5G and 3GPP AI/ML Technologies: Research, Patents, and Technological ForecastingThe fifth-generation (5G) wireless network is a transformative technology that has redefined the landscape of global communication. Its key features include ultra-reliable low-latency communication (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communication (mMTC). The fusion of 5G with Artificial Intelligence (AI) and Machine Learning (ML) has opened the door to innovative solutions that transcend industries, promising smarter and more efficient operations. At the heart of 5G’s standardization lies the Third Generation Partnership Project (3GPP), a collaborative framework that plays a pivotal role in shaping wireless technologies, including 5G and its successors. By embedding AI/ML technologies into these frameworks, 3GPP is revolutionizing network efficiency, security, and adaptability.This document delves deep into the research landscape, patents, and technological advancements at the intersection of 5G and AI/ML integration. Furthermore, it offers a forecast of the technological trajectories expected to shape the wireless innovation of tomorrow. Show less