Sai Adarsh Kasula
Research Assistant Data Science and Machine Learning Research @RWJBarnabas Health
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WORK HISTORY
Research Assistant Data Science and Machine Learning Research @RWJBarnabas Health
New Brunswick, NJ, US
Automated Data De-identification: Created Python scripts to automate de-identification of patient data, including waveform data, ensuring privacy compliance. Utilized xml.parsers.expat for efficient waveform extraction to streamline downstream analysis•Data Integration and Management: Extracted ECG data from MUSE NX server and STEMI/NSTEMI data from Philips IntelliSpace CV, consolidating datasets with echocardiogram data into a unified and accurate pipeline•Image Grading Automation: Designed Python-based tools using libraries like cv2, PIL, and tkinter to automate grading and visualization of ventricular images, increasing workflow efficiency•DICOM Tagging Automation: Enhanced echocardiogram analysis by automating DICOM tagging with the pydicom library, accurately identifying and labeling end-systole and end-diastole frames•Research Implementation: Advanced echocardiogram segmentation by applying the Persistent Independent Particle (PIP) approach from CMU\'s research, contributing to improved imaging insights.
EDUCATION
Rutgers University–New Brunswick
Master's degree
Gitam University, Hyderabad
Bachelor of Technology - BTech
ABOUT SAI ADARSH KASULA
Data Scientist and Applied Machine Learning Engineer with 5 years of progressive…
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