About

Adarsh Singh is a highly skilled Data Scientist with experience in Python, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, SQL, Data structures & Algorithms, Statistics, and Finance. He is currently working as a Data Scientist (Assistant Manager) at Bank of America. Adarsh completed his Bachelor of Technology undergraduate degree from the prestigious Indian Institute of Technology (IIT), Roorkee in 2021. He has since gained 1.86 years of relevant experience in the field of data science. Prior to his current role, Adarsh worked as a Data Scientist at L&T, where he modeled sensitive data discovery (Named Entity Recognition) for financial and healthcare organizations. He also automated and integrated the ETL process, created an AI-based solution for policymakers to analyze similarities between clauses of the Insurance Domain, and refined automated procedures for the Government of India. Adarsh's work resulted in significant cost savings and improved efficiency for these organizations. Adarsh also worked as an Artificial Intelligence Engineer at JungleWorks, where he conducted research and development on Face Liveness Detection techniques using images and videos from a 2-D camera. He developed a Face Liveness Detection module using Local Binary Patterns, which detected liveness with an accuracy of 80% for more than 10k employees and cab and auto drivers. Adarsh's work resulted in a financial impact of ~$2MM. Adarsh's technical expertise includes Research Scientist, Data Scientist, ML, Deep Learning, NLP, SQL, Python, AI, Computer Vision, ETL, Random Forest, infra, test, Neural Networks, Reinforcement Learning, SVM, XGBoost, Keras, CNN, RNN, Scikit, SDET, Tensorflow, Search, and Senior Software Engineer. Adarsh is a highly motivated, analytical, and results-driven professional with a passion for solving complex problems using data science. He is a valuable asset to any team and is always seeking new challenges to further develop his skills.