About

Prayushi Faldu is a highly skilled Research and Data Science professional with over 1.26 years of relevant experience. She is currently working as a Teaching Assistant at Indian Institute of Technology, Delhi, where she is responsible for teaching Introduction to Database Management Systems and Principles of Artificial Intelligence to undergraduate and graduate students. Prior to her current role, Prayushi has worked as a Data Science Engineer at Embibe, where she was involved in various projects related to question answer extraction, automated test generation, and personalized test creation based on user's strengths and weaknesses. She has experience in building ETL pipelines, writing production APIs, and optimizing time verticals. During her internship at Embibe, she worked on a project related to question answer extraction from academic text, where she was responsible for building annotation evaluators, book parsing, text cleaning, and designing and implementing algorithms for improved results. Prayushi holds an MS(Research) degree in Artificial Intelligence from Indian Institute of Technology, Delhi, and a Bachelor of Technology degree in Information and communication technology from Pandit Deendayal Petroleum University, Gandhi Nagar. She also has a strong academic background, having completed her Grade 12th and Grade 10th from S.D.C.C.L. Public School (CBSE), with majors in Physics, Chemistry, Mathematics, and Biology. Her technical skills include expertise in Test, Data Science, Research, ETL, and Backend. Prayushi is a highly motivated individual with a passion for solving complex problems and has a proven track record of delivering high-quality results. She is a quick learner and has excellent communication and interpersonal skills, which make her a valuable asset to any team.