About

Anik Chatterjee is a highly motivated and passionate Data Science Enthusiast with a professional experience in Machine Learning, Deep Learning, and Recommendation Systems. He is a dependable and fast learner with a knack for innovation and a remarkable ability to cope up with complex problems. Currently, he is working as a Research Assistant at the Indian Institute of Technology, Delhi, where he is exploring new and upcoming algorithms in AI and Data Science. Anik has a strong educational background in Computer Science, having completed his Bachelor of Technology from St. Thomas' College of Engineering and Technology. During his academic years, he actively participated in various research projects and gained hands-on experience in different programming languages and tools. He also holds a 12th degree from Ramakrishna Vivekananda Mission Barrackpore. Anik has previously worked as a Programmer Analyst Trainee at Cognizant and as a Machine Learning Intern at MyWays, where he explored different Recommendation Systems and made models from scratch. He analyzed different data outputs and fixed the wrong parts to achieve good accuracy. He also designed a pathway for users to predict the right content depending on their answers, minimizing the questions asked to keep them engaged. Anik's technical skills include Research Scientist, Data Scientist, AI, ML, Deep Learning, and Recommendation Systems. He has a reliable attitude when working with teams and can effectively lead them towards achieving common goals. Anik is always eager to learn new things and keep himself updated with the latest technologies and trends in the field of Artificial Intelligence and Data Science. Overall, Anik Chatterjee is an ambitious and talented individual with relevant experience of 0.77 years in the field of Data Science. He is a great team player with excellent analytical and problem-solving skills, and his passion for AI and Data Science makes him a valuable asset to any organization.