Arun Krishnamurthy

Arun Krishnamurthy

Wireless Planning Engineer

location of Arun KrishnamurthyBengaluru, Karnataka, India

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  • Timeline

  • About me

    Vertical Product Lead - Gen AI, Talent & HR at Accenture in India

  • Education

    • Shanmugha Arts, Science, Technology and Research Academy

      1999 - 2003
      B.E Electronics and Communication
    • Sri Sathya Sai Institute of Higher Learning

      2005 - 2007
      MBA General Management
  • Experience

    • Reliance Infocomm

      Aug 2003 - Jun 2005
      Wireless Planning Engineer

      Worked with the Wireless,Planning and Engineering (WPE) department,Mumbai.It involved Engineering of various hardware resources (E1s),Call routing analysis,database management,analysis of signalling links and load balancing.

    • KPMG

      Dec 2007 - Feb 2009
      Senior Consultant in Risk Advisory Services

      Worked in Revenue Assurance for various clients in the telecom domain. Some of the clients being Saudi telecom, MTN and Vodafone India. Provided risk assessment, process consulting and core network domain consultation to the clients.

    • Cognizant Technology Solutions

      Feb 2009 - Oct 2010
      Business Analyst/ IT offshore Project Manager

      Project manager from Offshore involved in delivery of IT data migration projects for a telecom client. As part of the Cognizant Business Consulting Group, I have also been involved in pre-sales activities.

    • Ericsson India Private Limited

      Oct 2010 - Dec 2012
      Manager, Business Consulting

      Provide Operational Consulting services and domain expertise for various clients such as MTN, Magyar Telecom, Uninor etc. Also engaged in Business strategy development and development of Go-To Market strategies.

    • Accenture in India

      Jan 2013 - now

      • Built and led a team of digital professionals for a large US based Telecom client for creation of AI/ML based digital assets ranging from Chatbots, Intelligent Email advisor, Virtual assistants, Auto AI summarization, Analytics Apps from ideation stage to On-premise production deployment • Creation of product roadmap and opportunity grooming, championing user-centric design, leveraging user feedback from multiple sources, performing competitive analysis, and latest technology trends to facilitate building advisor-centric products• Product management of Analytics Apps including design and creation of Minimum Viable product (MVP), Platform setup, deployment at scale solutions, Managing P&L & talent management• Lead Analytics on Cloud services - PaaS (on Azure platform)• Lead and Drive Business Consulting, Continuous Innovation, Analytics and Robotic Process Automation (RPA) within the Client Account in delivering Client Value and Business outcomes• Lead due diligence and provide recommendations to the client account• Lead and run Ideation forums, create Proof of concepts, Evangelize Innovation tools and ideas within the client account.• Conducted High Level Assessments and performed due diligence to identify automation opportunities. Created a prioritization grid matrix based on complexity of execution and potential Business Outcome to identify quick win automation projects• Hire, train and govern multi-skilled teams for performing Process improvements, Reporting, Analytics (Descriptive & Predictive), Automation, Quality among others.• Perform Program management, manage budgets and provide overall Governance• Assisting in Enlargement of Business portfolio through Client engagements and presentations• Engage with internal and external senior management & leadership stakeholders Show less

      • Vertical Product Lead - Gen AI, Talent & HR

        Jan 2023 - now
      • Vice President - Analytics and Innovation Program

        Dec 2021 - Dec 2023
      • Analytics Principal

        Jan 2013 - Mar 2022
  • Licenses & Certifications

    • Agile methodology

      Skillsoft
    • Design thinking Practitioner

      LUMA Institute
    • Lean Six Sigma Green Belt Certification

      KPMG India
    • Perform Cloud Data Science with Azure Machine Learning

      Microsoft
      Nov 2020