Experience

  • Master Thesis Student at the Department of Propulsion Energy Systems

    at Volvo Car Corporation

    January 2019 - June 2019

    Västra Götalands Län

    Thesis Title: Generalization of Empirical Cell Models with Deep Learning. • This thesis work aimed to predict the voltage fluctuations which occurs in a Li-ion traction battery using deep learning models. • Developed two deep learning models such as Multilayer Perceptron and Convolutional Neural Network in Python and Keras. • Performed optimization to reduce the voltages fluctuations and improve the performance of the Li-ion traction battery.

Education

  • Applied Physics and Electronics (Specialization in Robotics and Control)

    at Umeå University

    2017 - 2019 (2 years) Västra Götalands Län

  • Electronics and Communication Engineering

    at SRM University

    2012 - 2016 (4 years) Chennai - Tamil Nādu

Languages

  • English Native

  • French Negotiation

  • Hindi Negotiation

  • Swedish Elementary

  • Tamil Negotiation

Hives