Atharva Shah

Atharva Shah is a skilled data scientist and researcher with extensive experience in medical imaging and machine learning. Currently serving as a Graduate Research Assistant at Indiana University Bloomington, Atharva has implemented a diffusion MRI signal simulation model in Python for brain MRI data analysis. As a Machine Learning Intern at Dartmouth Hitchcock Medical Center and Clinics, Atharva trained a YOLO-v8 model to detect cancer cells, achieving high precision and recall. Atharva's previous role as a Graduate Research Fellow at Indiana University's Kelley School of Business involved developing a PySpark system for topic mapping and conducting sentiment analysis on financial reports. Atharva's background also includes significant contributions at NSRL in gene biomarker discovery and successful model development, alongside volunteer work advocating for accessibility in public spaces. Educational qualifications encompass a PhD and a Master's in Data Science from Indiana University Bloomington, among other advanced degrees in engineering and machine learning.