Dnyanada Kadiyal

Dnyanada Kadiyal is a skilled data engineer with experience at Promaxo since February 2022, where contributions include creating high-resolution images from MRI scans through collaboration with cross-functional teams, developing a classification model for MRI signal channels, automating 3D image reconstruction using AWS, and designing a Python tool for analytical visualizations. Previously, Dnyanada served as a data scientist at Tyme Wear, focusing on data-driven features for athlete smart-shirts, developing models for lung volume detection and breathing rate trends, and creating visualizations for workout data. Dnyanada's academic background includes a Master's degree in Applied Data Analytics from Boston University and a Bachelor's degree in Computer Science and Engineering from KIT's College of Engineering, along with research and teaching assistant roles that involved machine learning applications in healthcare and data science education. Early experience includes a data analyst internship at Larsen & Toubro, focusing on fraud detection and project delay prediction systems.