About

Vishwa Ranjan is a competent professional with over 13 years of rich experience in the IT domain, with a focus on Data Science and Artificial Intelligence. He is a skilled Data Engineer with proven expertise in Machine Learning, Computer Vision, Natural Language Processing, and Data Visualization. Vishwa has a keen interest in solving problems related to Big Data and building data pipelines using Hadoop eco-system tools. Vishwa has experience in building state-of-the-art AI applications like Document Classification, Regression, and Information extraction systems using NLP, computer vision, and machine learning/deep learning techniques. He is experienced in developing end-to-end ETL pipelines and has worked on various ad hoc projects and POCs using ML/AI, Hadoop technology, and its eco-system tools. Vishwa has also built core Java APIs and has good knowledge of data structures and algorithms. Vishwa has a strong technical background and is proficient in various tools and technologies. He has expertise in Mathematical Fundamentals, Statistical Tools, Machine Learning, Deep Learning, NLP, Big Data Architecture, Hadoop Eco-system, Streaming Technologies, Programming, Scripting, Cloud, Databases, Repositories, Development Tools, and Operating Systems. Currently, Vishwa is working as a Vice President at JP Morgan. Prior to this, he worked as a Data Engineer at Credit Suisse and a Senior Technical Architect at TCS. At Credit Suisse, he built state-of-the-art AI applications and integrated them with the production environment. At TCS, he designed the application framework to support batch as well as OLTP systems and presented multiple approaches for ingestion of incremental data. Vishwa holds a Bachelor of Engineering degree in Computer Science from Rajiv Gandhi Prodyogiki Vishwavidyalaya and completed his Higher Secondary education from Vikram Higher Secondary School, Bhopal, M.P. In summary, Vishwa Ranjan is an expert in Data Science and Artificial Intelligence with a strong technical background and a proven track record of building state-of-the-art AI applications. He is passionate about solving problems related to Big Data and has a keen interest in Distributed Systems, Big Data Analytics, and Web Architecture.