Experience

• 

  DeepEdge

  • United States
  • Software Development
  • 1 - 100 Employee

  • Machine Learning Engineer

    • Oct 2020 - Present

  • Machine Learning Engineer

    • Aug 2020 - Sep 2020

• 

  o9 Solutions, Inc.

  • Bengaluru Area, India

  • Machine Learning Intern

    • May 2019 - Jul 2019
    • Bengaluru Area, India

    The objective of the project was to prepare a machine learning model which can predict future sales using the historical sales data with the better efficiency than traditional time series model. Decision tree, random forest and xgboost algorithms were trained on the processed dataset resulting in a MAPE score of 26.172.

• 

  Machine Vision Laboratory

  • IIT Roorkee

  • Deep Learning Research

    • May 2018 - Jul 2018
    • IIT Roorkee

    Worked on a problem of detecting human activities from daily activity of living and fall activity. The major aspect of the project work was to develop a proper classification method and an efficient algorithm for the purpose of the detection of the fall activity.