About

Upendra Karki is an experienced Fraud Data Analytical Officer at Amerant with a strong background in data analysis, research, and software development. He graduated with a Master of Science degree in Management Information Systems from the University at Buffalo in 2019 and a Bachelor of Engineering degree in Computer Science from Rajiv Gandhi Institute of Technology in 2016. Upendra has worked as a Graduate Research Assistant at the University at Buffalo, where he conducted data analysis and performed hypothesis testing to evaluate the revenue generated by push recommendation notifications for Buffalo Sabers. He also worked as a Research Analyst, where he researched and implemented different clustering methods and explored deep learning topics to implement on the healthcare dataset. Upendra has experience in using various deep learning models such as ANN, CNN, and RNN. In addition to his academic experience, Upendra has also worked as a SQL Developer at Pincarts, where he created complex queries involving self-joins, subqueries, and tuning for diverse company requirements. He also developed an API to integrate a payment gateway for Android and iOS apps, enabling a secure truncation path for users. Furthermore, he created a market segment using Google Analytics to form target groups, which increased the client base by 8.9%. Upendra's technical skills include Deep Learning, Research Scientist, CNN, RNN, SQL, test, Senior Software Engineer, Android, and iOS. With a relevant experience of 5.86 years, Upendra has a proven track record of delivering high-quality results and exceeding expectations. He is a valuable addition to any organization looking for a talented and experienced data analyst with a deep understanding of software development and research.