Deeksha Razdan is an Applied Scientist II at Amazon with eight years of experience building production ML systems and software engineering solutions at the intersection of AI and IoT. She progressed internally at Amazon from Software Developer to Applied Scientist, applying research-grade techniques to real-world problems and production services. Her academic work at UMass Amherst on controversy detection and time-series modeling—boosting classification accuracy from 72% to 87%—reflects a strong foundation in NLP, statistical modeling, and explainability. She has hands-on experience with Azure ML, wearable-data churn prediction, and a practical streak for turning models into deployable value for industry and healthcare. Based in the San Francisco Bay Area, she blends research rigor with product-minded execution and a long-term vision for pervasive AI-driven systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering (BE) Information Technology, Bachelor of Engineering (BE) Information Technology at KJ Somaiya College of Engineering, Vidyavihar
Master's degree Computer Science, Master's degree Computer Science at University of Massachusetts Amherst
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