About

Pragya Chhajer is a passionate computer science and engineering professional with a keen interest in data science, machine learning, and deep learning. She is currently working as an SDE at Arcesium, where she is honing her technical skills as a full-stack developer. Pragya has a strong background in competitive coding and has worked on several projects based on machine learning, blockchain, and android app development. Pragya has published two research papers, one on the evaluation of the percentage probability from clinical features for a person to be infected with COVID-19, and the other on the prediction of the extent of helpfulness of reviews on e-commerce websites. Her research has been published in Scopus Indexed International Journal of Xidian University and has been accepted for oral presentation in ICT4SD 2020, Fifth International Conference on ICT for Sustainable Development. Pragya has also gained valuable experience through her internships at Indian Institute of Technology Bombay and Yellow Messenger. At IIT Bombay, she was selected through FOSSEE fellowship and worked on the requirements for the project and modules of Content Management Software Drupal. At Yellow Messenger, she implemented NodeJs for the functioning of the bot and MongoDB for the backend and contributed to building a survey taking chatbot for Flipkart. Pragya has a Bachelor of Technology degree in Computer Science and Engineering from the National Institute of Technology Agartala, where she will be graduating in 2021. She also holds a Higher Secondary School diploma in Physics, Chemistry, Mathematics, and Physical Education from Aklank Public School and a Secondary School degree from Lakshmipat Singhania School. Pragya's tech stack includes software engineering, blockchain, machine learning, deep learning, data science, research science, and android. With 2.19 years of relevant experience, Pragya is looking forward to working for a company that allows her to continue to grow and develop her skills.