Dhanush Krishne Gowda

Angestellt, Manager Global Digital Analytics, Hapag-Lloyd AG

Hamburg, Deutschland

Fähigkeiten und Kenntnisse

SAP
Machine Learning
Python
Logistics
Supply Chain Management
SAP ERP
MS Office
Microsoft Excel
Logistics Planning
Transport
Communication skills
Team work
willingness to learn
Supply Chain
ANSYS
International experience
Analytical skills
Motivation
Fast learner
open minded
ability to work under pressure
Interpersonal skills
Creativity
independent
Responsible

Werdegang

Berufserfahrung von Dhanush Krishne Gowda

  • Bis heute 3 Monate, seit Apr. 2024

    Product Owner - Ship Green

    Hapag-Lloyd AG

    Interim Product Owner for Ship Green

  • Bis heute 3 Monate, seit Apr. 2024

    Manager Global Digital Analytics

    Hapag-Lloyd AG

    Digital Business Growth - Global Commercial Development

  • 7 Monate, Okt. 2023 - Apr. 2024

    Manager Global Tender Analytics

    Hapag-Lloyd AG
  • 5 Monate, März 2023 - Juli 2023

    Master Thesis / Masterarbeit

    Freudenberg Industrial Services GmbH

    As a Master's thesis student at Freudenberg Sealing Technologies, I worked on a thesis - 'Streamlining Supply Chain for Enhanced Collaboration among Supply Chain Parties through Virtual Warehousing at Freudenberg Sealing Technologies and Direct-to-Consumer Fulfillment'. This initiative aimed to create a mutually beneficial scenario for all involved supply chain entities, streamlining the supply chain dynamics, emphasizing the optimization of processes to foster collaboration and synergy among stakeholders.

  • 6 Monate, Sep. 2022 - Feb. 2023

    Supply Chain Analyst - Global Sales DTA

    Hapag-Lloyd AG

    Analyzed Supply Chain decisions and digitized sales reporting for clients, focusing on rate agreements, customer visibility, revenue per TEU, and CO2 emissions. Worked on QlikView reporting for sales, and developed automated data extraction of Qlik view reports via bots developed using Python programming. Introduced effective automation using Microsoft Power Automate in the global sales department, streamlining tasks and enhancing Supply Chain efficiency.

  • 3 Monate, Juni 2022 - Aug. 2022

    Integrated Logistics Analyst

    Kuehne + Nagel S.à r.l.

    Worked on a transformative Machine Learning Project focused on Transport Cost Prediction for Air, Sea, and Road freights, enhancing efficiency within the Integrated Logistics Department at Kühne+Nagel - BeLux Sector in Luxembourg. Successfully implemented predictive models into eControl, benefiting numerous customers in the pharma and consumer industries by analyzing geo-locations, historical transactions, package specifics, and tailored requirements, optimizing logistics strategies for their diverse needs.

Sprachen

  • Deutsch

    Gut

  • Englisch

    Fließend

  • Kannada

    Muttersprache

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