Pranathi Chunduru Email & Phone Number

Radnor, Pennsylvania, US

New Brunswick, NJ, US

Robotics and Digital Solutions (Formerly Auris Health Inc)- Sr ML Scientist in the data and advanced analytics team within the Ottava -RAD.- Led R&D digital product from the early development of the ETL infrastructure pipeline to continuous product maturity for the minimally invasive first-of-a-kind robotic surgery platform.- Developed a scalable and.

San Francisco, California, US

• Research Data Scientist working towards building interpretable predictive models and clinical decision tools.MRI–Brain Tumor Classification:
• ︎ Designed scalable end-to-end machine learning pipeline for high dimensional MR imaging and genomics data.
• ︎ Developed and deployed a prognostic model using supervised classification/ regression algorithms that improved prediction accuracy of recurrent tumor identification using MR-Imaging to help radiologists with guided.
• ︎Built interactive data visualization tools to distill complicated Spatio-temporal data into easy to digest summaries that are used to monitor disease progression and overall survival. (R-Shiny, Tableau.
• ︎ Built trainable CNN architecture that integrates cox proportional hazards model to predict patient risk from digital pathology images.
• ︎ Developed image preprocessing pipeline for H&E images to automate extraction of informative region of interests reducing significant time in manual processing.Presented work in related conferences: International.

Tempe, AZ, US

• Graduate Research Assistant: Effect of visual feedback distortion and Treadmill distortion on Human GAIT symmetry and retention.
• ︎ Extensive analysis of effect of different sensory feedback( visual and proprioceptive) systems on gait symmetry in motor impaired subjects.
• ︎ Developed novel system to determine walking symmetry for post-stroke subjects by extracting real time step-length data using motion capture system (VICON).
• ︎ Compared the effectiveness of visual cues (by generating virtual visual feedback of step-length) with proprioceptive feedback ( dual belt speed alterations) on step-length ratio.
• ︎ Performed statistical data analysis (one-way ANOVA,post-hoc Tukey) to determine the retention rate on processed step-length data.
• ︎ Integrated obtained findings with current rehabilitation efforts to determine suitable sensory feedback system.

Geneva, Switzerland, CH

• Determined accuracy of attitude filter(gyroscope) in smartphone based Pedestrian Dead Reckoning (PDR) system.
• ︎ Simultaneously collected quaternion data from PDR system onboard Samsung Galaxy phone and Phase Space Motion Capture System in Tele Immersion Laboratory UC Berkeley.
• ︎Transformed PDR dataset to earth frame of reference and calculated the accuracy of PDR system wrt motion capture data.
• ︎ Redesigned PDR stride length model for accurate estimation of step length at various gait angles to aid in indoor and outdoor navigation within limited connectivity. Used Statistical Analysis to verify the.
• ︎Implemented MATLAB scripts for error measurement & orientation estimation in PDR attitude filter.

Master Of Science (M.S.), Bioengineering And Biomedical Engineering

Bachelor Of Engineering (B.E.), Biomedical/Medical Engineering