Arun C Shaji

Vice President - Software Solutions at SectorQube
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Contact Information
Location
Ernakulam, Kerala, India, IN

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Credentials

  • Building High-Performance Teams
    LinkedIn
    Aug, 2022
    - Oct, 2024
  • Content Marketing Foundations
    LinkedIn
    Aug, 2022
    - Oct, 2024
  • Digital Marketing Foundations
    LinkedIn
    Aug, 2022
    - Oct, 2024

Experience

    • India
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Vice President - Software Solutions
      • Apr 2022 - Present

    • IT Project Manager
      • Mar 2018 - May 2022

      Acknowledging the smart-work and people management skills, I was given the opportunity to manage the team in the new role as IT Project Manager. I was able to manage and complete a substantial amount of projects with clients from across the world. During this tenure, I was able to initiate new guidelines to improve the work quality and the work management strategies at SectorQube Inc. I also defined different cost cut strategies and managed irregular business spends. In addition I liaised with senior staffs, CXOs and other stakeholders to ensure that the company's Project Management structure was driving the business forward with maximum contentment from the end client. Few nonpareil projects that I was given the opportunity to manage - • Hayya Card - Fan ID project for the FIFA World Cup Qatar 2022™• Fan ID Project for FIFA Arab Cup Qatar 2021™• Stad-Link - Fan ID project for the FIFA Club World Cup Qatar 2021™ and Amir Cup Qatar 2021• IFB Smart App - An IoT e-commerce and CRM application• Open Applicances - Home Security Solution• Water Delivery ERP System• Work Flow Automation System• e-Yogi - Online Counselling Platform• V- Guard Survey Portal• Kalyan Silks - E-Commerce Portal Show less

    • Machine Learning Engineer
      • Feb 2017 - Mar 2018

      It all started with an online crash course on ML!!Fascinated by the fact that meaningful data can solve any of the problems in the modern world, I started at SectorQube Inc, and rest is history,With SectorQube, I Co-developed a prediction system for a supermarket chain in Middle East. The developed algorithm is capable of predicting the inventory to be made available for the next date by analyzing the past sales data. Previously the supermarket chain was using the Just In Time(JIT) methodology but without relevant data, most of the days they were not able to meet the demand. With our proposed system they were able to improve the sales by 15% which is a great value addition considering the volume.Developed an in-house solution for a flat bread maker where the system predicts the required proportion of constituents to be added for the flat bread. This is for an in house project, and the flat bread maker is already patented and ready for manufacture. Show less

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