Shraddha holds a Master’s Degree in Engineering Mathematics from the University of Bristol. She has spent time as a Summer Research Fellow at APE Labs, CNRS in France, and interned as a Data Scientist in the UK. Her passion for programming and mathematics is driven by a desire to use these skills to address global challenges, particularly through data science.

Shraddha is currently pursuing her PhD, where her research focuses on leveraging Machine Learning to solve inverse problems, specifically in the areas of electrical impedance tomography and anisotropy detection. She also completed a training placement with the Central Bank, where she worked on Natural Language Processing (NLP) for financial text document summarization.

Beyond her academic and professional pursuits, Shraddha is training to be a Carnatic Violinist.

Completed training placement with Central Bank.