About

Afrid Mondal is a Natural Language Processing Engineer at Morgan Stanley with over 5 years of relevant experience. He is skilled in data storytelling and visualization using Tableau, object-oriented programming with a high-level understanding of Python, data extraction with SQL, and natural language processing using NLTK and Spacy Library. Afrid also has experience in data mining, manipulation, and cleaning, and building machine learning models using both supervised and unsupervised techniques. Afrid has a good grasp of transfer learning utilizing pre-trained model BERT using PyTorch. He has previously worked as a Data Scientist at TCS and has gained hands-on experience in research and development in the field of natural language processing. Afrid has a strong educational background, having completed a Data Science course from Springboard in 2019 and a Simplilearn Alumni course in 2018. He holds a Bachelor of Technology degree in Electronics and Communications Engineering from B.P. Poddar Institute of Management and Technology. He also completed his Higher Secondary education in Science from Kanchrapara Harnett High School. Afrid's technical skills include NLP, Python, SQL, ML, BERT, PyTorch, Information Retrieval, Random Forest, RNN, Hadoop, Kafka, and Apache Hive. He is a skilled Research Scientist, Deep Learning expert, and Software Engineer. Afrid is a highly motivated individual who is passionate about bringing ideas into innovation. He is a quick learner and always eager to take on new challenges. Afrid is an asset to any team he works with, and his expertise in natural language processing and machine learning makes him a valuable addition to any organization.