About

Chelsi Gupta is an ambitious and result-oriented software engineer with a passion for web development, databases, and machine learning. Currently working as a Software Engineer at Dyno Nobel, Chelsi has gained extensive experience in .NET development and ReactJS, which she uses in maintaining the web application that creates blast plans for mining. Chelsi's research work at Utah State University involved applying machine learning models to classify audio from different beehives to address the issue of Colony Collapse Disorder. She also developed an algorithm to identify the best subset of features for efficient classification of the dataset. Chelsi's previous experience includes working as a Software Developer at Conservice, where she developed and maintained an in-house web application for setting up new property accounts with the company. She also worked on the client-facing side of the application, which uses ReactJS. Chelsi built a console application to send emails to clients for pending items and an Email Calendar to display past emails and future email predictions using React and Redux. Chelsi holds a Master's degree in Computer Science from Utah State University and a Bachelor's degree in Information Technology from Shri Vaishnav Institute of Science & Technology. She has relevant experience of 4.02 years and possesses a diverse skill set that includes software engineering, web development, machine learning, research, and data science. Chelsi is a hardworking individual who thrives under pressure and is always looking for opportunities to combine her education and skills to add value to her employer's bottom line. She is passionate about staying up-to-date with the latest technologies and is constantly looking for ways to improve her skills. Chelsi's resume and Github profile showcase her expertise and proficiency in software engineering, web development, and machine learning.