About

Hemant Mishra is a highly skilled Principal Data Scientist with a passion for solving complex business problems. With over 12 years of experience in the field, he has extensive knowledge of machine learning, deep learning, and their implementation. Hemant's expertise lies in the information retrievable and semantic AI areas, specifically for the banking industry, particularly in the areas of credit risk, market risk, and commercial banking risk. Hemant has experience in a wide range of capital markets domains, including index/benchmark management (rebalance/pre-balance), fixed income, reference data, liquidity risk management (BASEL III), and regulatory consulting and reporting, with in-depth knowledge across various asset classes such as fixed income, derivatives, and swaps. Hemant is an expert in Python and related APIs, and he has implemented various NLP algorithms. He also has experience in large-scale framework development, and his specialties include Python, machine learning, deep learning, various state-of-the-art language models like BERT, and knowledge graph creation frameworks using the Deep Learning KG-BERT model. Hemant's certifications include data analytics with Python, and he is currently working as a Principal Data Scientist at Visionet Systems. He has previously worked at Citi as an Assistant Vice President of Data Science and as a Senior Data Scientist. Hemant's educational background includes a Master of Computer Applications from KIIT University, where he graduated in 2009. He was also the school topper at Gyan Bharty Public School in Darbhanga. In terms of his technical skills, Hemant is proficient in several areas, including data science, research science, AI, BERT, NLP, ML, Python, deep learning, computer vision, language models, random forest, AWS, NLU, Keras, CNN, TensorFlow, neural networks, PyTorch, information retrieval, Jupyter, SVM, Neo4j, SageMaker, RNN, Word2Vec, OpenCV, Spark, Scikit, MongoDB, DevOps, search, Flask, and GCP. Overall, Hemant Mishra is a highly skilled and experienced Principal Data Scientist with a deep passion for solving complex business problems using cutting-edge technologies.