Pooja Hegde

Pooja Hegde's work experience includes roles at various companies. In 2014, they worked as a Transaction Risk Investigator at Amazon, where they investigated online frauds and transaction risks. From 2016 to 2017, at ÅF, they completed a Master's Thesis, building a model in Simulink that generated Mu-Slip curves for different types of tires based on various parameters. Starting in 2017, they joined IPG Automotive as a Test Engineer, responsible for testing and later transitioned to the role of Product Manager. In 2022, they joined Applied Intuition in an engineering role.

Pooja Hegde obtained a Bachelor's degree in Mechanical Engineering from Nitte Meenakshi Institute of Technology, where they studied from 2010 to 2014. Pooja then pursued a Master's degree in Automotive Engineering Technology/Technician from Chalmers University of Technology, completing their studies from 2015 to 2017. Additionally, they obtained various certifications in machine learning and deep neural networks from Coursera, including courses such as "Convolutional Neural Networks," "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization," "Sequence Models," "Structuring Machine Learning Projects," and "Neural Networks and Deep Learning" between 2020 and 2021.