About

Pranjal Srivastava is a driven and accomplished Data Science Intern at AiDash, with a strong background in computer science. He is currently pursuing a Bachelor's degree in Computer Science from Delhi Technological University, which he is set to complete in 2023. Pranjal's passion for data science and research has led him to excel in his field, with relevant experience of 0.78 years. Prior to his current role, Pranjal worked as an Engineering Intern at Twitter, where he was part of the Global Growth-Data Science team. Here, he worked on improving the performance of the notification recommendation model of Twitter for emerging new markets. He has also worked as a Summer Research Intern under Professor Indu Singh at Delhi Technological University, where he developed an ensemble model for the detection of fraudulent credit card transactions using Moth Flame optimisation and Cuckoo Search Algorithm. Pranjal's technical skills include Data Science, Research Science, and Search. He is a quick learner and has a keen eye for detail, which has enabled him to excel in his roles. Pranjal is a self-motivated individual who is always eager to learn and take on new challenges. He is a team player and has excellent communication skills, which have helped him build strong relationships with his colleagues and clients. Overall, Pranjal Srivastava is a highly skilled and motivated data science professional, with a strong background in computer science. He is a quick learner with a passion for research and a drive to succeed. With his strong technical skills and excellent communication abilities, Pranjal is a valuable asset to any team.