Sam Joy

Sam Joy

Intern

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  • Timeline

  • About me

    Lead Software Engineer and Data Scientist | Georgia Tech | BITS Pilani

  • Education

    • Delhi Public School

      2007 - 2009
      High School Physics Chemistry Mathematics Computer Science

      Member of the 4x100 relay teamAwarded certificate for scholastic excellence.

    • Georgia Institute of Technology

      2018 - 2020
      Master of Science (MS) Computer Science

      Core Courses and Electives include Artificial Intelligence, Machine Learning, Reinforcement Learning, AI for Robotics and Computer Vision.

    • Birla Institute of Technology and Science, Pilani

      2010 - 2014
      B.E(Hons) Electrical and Electronics Engineering
  • Experience

    • Broadcom

      Jul 2013 - Dec 2013
      Intern

      - Automated the process of extraction of database of the characteristics of IO pins using PERL from Verilog files of the top module, resulting in increased process efficiency of 15%.- Conceived and carried out a project to automate the spyglass flow, enabling the designer to deliver high quality and low power design

    • Virtusa

      Jun 2014 - Nov 2014
      Engineer-Technology

      - Developed applications using Java, Spring, Hibernate, MySQL, HTML, CSS and Javascript.- Carried out customer bug fixes and hot fixes

    • Routematic

      Nov 2014 - Oct 2016
      Product Engineer

      - Developed and implemented Field View, a B2B, SAAS product harnessing the power of location intelligence for the mobile work force, to maximise product reachability, performance and customer satisfaction.- Developed Routematic- Rideshare, a B2C, SAAS product for sharing of automobile resources, to maximise their utility, reduce carbon footprint, minimise cost and enhance comfort level of users.

    • Microgrid Labs Inc

      Aug 2020 - Jun 2021
      Consultant
    • HaiX AI

      Nov 2020 - Jul 2021
      AI Data Scientist
    • Omdena

      Jul 2021 - Aug 2021
      Machine Learning Enginner

      Built an automated plant health prediction model, based on drone-derived multispectral and thermal data, being carried out by a global team of 50 Engineers.Predicted climate and geopolitical risks for financing water and energy needs in west and central Africa. Carried out by a global team of 50 Engineers with my role as a Task Leader.

    • NatWest Group

      Aug 2021 - Oct 2021
      Data Scientist

      Predicted credit card revolver and transactor balance on a monthly, quarterly and half-yearly basis.

    • Microgrid Labs Inc

      Nov 2021 - now

      Holding key position, responsible for Data Science and Software Development aspects of Fleet Electrification, Energy Storage and Microgrid planning, modelling and designing.

      • Lead Software Engineer and Data Scientist

        Feb 2022 - now
      • Data Scientist

        Nov 2021 - Jan 2022
  • Licenses & Certifications

    • Algorithms

      Coursera
    • Machine Learning Nanodegree

      Udacity
      Oct 2017
    • Machine Learning

      Coursera
      Feb 2017