Srinath Narayanan is a seasoned software engineer and data scientist with a strong background in machine learning, predictive modeling, and software development. Experience includes an internship at BD where predictive models for cost signal behavior and drug monitoring were developed, serving as a software engineer at JPMorgan Chase & Co. focusing on fraud detection, and contributing to Google’s Retail Ads ShopEx initiative to enhance shopping ads using machine learning techniques. Srinath has also held teaching assistant positions at UC San Diego, supporting courses in Electricity and Magnetism and recommender systems. Educational qualifications include a Master's degree in Electrical Engineering from UC San Diego and a Bachelor's degree in Electrical and Electronics Engineering from Sri Sivasubramaniya Nadar College of Engineering.
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