About

Kaustav Datta is a highly skilled graduate teaching assistant at UC San Diego, with a background in machine learning and data science from BITS Pilani. He has over 8 years of relevant experience and a strong educational foundation, holding a Master of Science degree in Machine Learning and Data Science from the University of California, and a Bachelor's degree in Electronics and Communication Engineering from Birla Institute of Technology and Science, Pilani. Kaustav has a rich professional experience, having worked as an Applied Data Science Intern at Qualcomm, and a Research and Development Engineer at IPSoft. At Qualcomm, he implemented a framework that had multiple univariate and multivariate time series forecasting models built into it, and provided insightful information on employee morale via textual analysis of employee reviews and comments. At IPSoft, he worked on developing face anti-spoofing techniques, improving the inference time of the existing Face Recognition system, and designing an end-to-end module to give users the ability to train image classification and object detection models on custom datasets. He also worked on integrating a speech recognition module into their product. As a graduate teaching assistant at UC San Diego, Kaustav is responsible for holding discussion sections to go over relevant material, office hours to answer questions, clarifying doubts on online discussion platforms, creating questions for exams, and grading. He has taught courses such as Introduction to Statistical Analysis, Sensation and Perception, and Learning, Memory, and Attention. Kaustav's technical skills include data science, machine learning, research science, object detection, and more. He is a highly motivated individual with a passion for learning and exploring new technologies. He is a quick learner and has excellent problem-solving skills. Kaustav is an asset to any organization he works with and is always eager to contribute his skills and knowledge to achieve the organization's goals.