Nipun Kunte

Bis 2016, SAP APO Functional Consultant - IT Analyst, Tata Consultancy Services Ltd
Essen, Deutschland

Fähigkeiten und Kenntnisse

SAP Advanced Planner and Optimizer (SAP APO)
SAP APO Demand Planning
SAP APO Supply Planning
Template

Werdegang

Berufserfahrung von Nipun Kunte

  • Bis heute 7 Jahre und 5 Monate, seit März 2018

    Senior Lead Consultant

    Tata Consultancy Services, India

    - Leading SAP APO Plan Team in Integration of S/4 Hana with BW and APO to integrate the new APAC template built in S4 in the existing EU template on ECC. - Leading Plan Team and manage overall project activities, support associated with deliverables and schedules. -Involved in New Plant Rollouts in S/4 Hana with cross system Stock Transfer using POSO process.

  • 7 Monate, Mai 2017 - Nov. 2017

    SAP APO Functional Consultant

    TCS - Tata Consultancy Services

    - SAP Functional Consultant in SCM for Conglomerate client of LATAM region.

  • 7 Monate, Sep. 2016 - März 2017

    SAP APO Transition Lead

    TCS - Tata Consultancy Services

    - SAP APO SME for the client in proposing the new improvements in the existing template and to take full transition on behalf on TCS and transfer the knowledge in the team. - Manage the transition including the on time delivery of transition documents and provide functional support.

  • 1 Jahr und 2 Monate, Juni 2015 - Juli 2016

    SAP APO Functional Consultant - IT Analyst

    Tata Consultancy Services Ltd

    - Build/implement RICEF objects that includes to write Functional Specification Documents, run various test cycles Unit tests, Integration testing ,ST, BST, UAT. - Work on Hyper care objects and incidents/service requests.

  • 4 Jahre und 4 Monate, März 2011 - Juni 2015

    Senior Software Engineer

    Accenture

    Worked as a Software Analyst in APO Application Maintenance Framework. Responsibilities were - - Primary area of working is in APO - Demand Planning which includes configuration and maintenance. - Solving priority based incidents, SRs, suggesting service improvements to increase the efficiency of the system, reducing master data cleaning activity, mass data deletion.

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