About

Manish Chaudhary is an experienced Technical Consultant and Software Developer with a strong background in the financial services industry. He is skilled in Python, C#, .NET, SQL, Machine Learning, and data analysis, with solid interpersonal, communication, and stakeholder management skills. Manish holds a Master's degree in Business Analytics from Deakin University and a Bachelor's degree in Computer Science Engineering from NIT Trichy. Currently, Manish works as an Application Support Developer at Potentiality, where he is responsible for providing technical support for software applications. Previously, he worked as a Software Developer and Technical Consultant at Finastra, where he was involved in all levels of software delivery, including business analysis, requirement gathering, UAT, functional and technical testing, and product enhancements. Manish has a proven track record of delivering high-quality software solutions for the financial services industry. He has experience in writing reliable codes, implementing software architectural improvements, user-facing features, or fixing defects, and optimizing the code for maximum performance. He has also collaborated closely with Quality Assurance (QA) and scrum teams for building software modules with Agile approach and Continuous Integration and Continuous Deployment (CI/CD) process. Manish has designed schemas and optimized SQL queries for three different database management systems: MS SQL, Oracle, and Sybase. He has created build jobs using Jenkins to provide continuous automated builds based on Git commits. He has also utilized project management tools such as Jira and Confluence to keep track of the development as well as debugging projects. Manish's technical expertise includes SQL, Software Engineering, CI/CD, testing, QA, Python, ML, Jenkins, Integration, and UI. He has 4.19 years of relevant experience in the industry, and his key achievements include developing and maintaining windows applications for Treasury Product Opics Plus, implementing data-driven testing (DDT) in the product with RESTful API to achieve 100% end-to-end testing, and preparing functional documents for enhancements made in the product.