Shaivi Kochar is a Staff Data Scientist with nine years of experience building ML and data engineering solutions across healthcare, analytics, and fintech, currently leading data science efforts at Intuit. With an MS in Computer Science from NYU, she blends deep learning and computer vision expertise with scalable data platforms (PySpark, Hadoop) to turn structured and unstructured data into business-driving insights. Her progression from research and internship roles into senior and staff-level positions reflects strong applied research chops and productionization skills, including TensorFlow/PyTorch model deployment. Based in the New York City metro area and now in San Francisco, she’s comfortable bridging research, engineering, and product teams to deliver predictive models at scale. An uncommon strength is her early cross-domain research experience in medical informatics and pathology-focused internships, which informs a rigorous, data-driven approach to real-world problems.
9 years of coding experience
9 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at New York University
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