Summary
Parinita Edke is a Senior Data Scientist with nine years of experience and an MSc in Computer Science from the University of Toronto, currently applying ML expertise at Walmart. She bridges applied research and production, having transitioned research-grade deep learning models—such as ultrasound and infant-image anomaly detectors developed at SickKids and Vector Institute—into real-world healthcare settings. Her work has combined signal processing (notably Fourier transform features) with modern DL to yield notable gains in accuracy, sensitivity, and specificity. Parinita also brings software engineering discipline from roles at BMO and extensive teaching experience at UofT, making her fluent in both research communication and production deployment. She is particularly skilled at turning noisy biomedical signals into robust features and fast pipelines, having reduced patient-level processing from hours to seconds in prior projects. Based in Toronto, she blends rigorous academic foundations with practical impact in healthcare and enterprise ML.
9 years of coding experience
6 years of employment as a software developer
High School Diploma, High School Diploma at John Fraser Secondary School
Master's degree, Computer Science, Master's degree, Computer Science at University of Toronto
English, Hindi, Marathi