Upendra Vijay
About Upendra Vijay
Upendra Vijay is a Data Scientist at Iris Software Inc. in Noida, Uttar Pradesh, India, with a background in data science and software development, having previously worked at Infogain and US Tech Solutions.
Work at IRIS Software
Upendra Vijay has been employed as a Data Scientist at Iris Software Inc. since 2021. He works in a hybrid capacity from Noida, Uttar Pradesh, India. In this role, he focuses on developing predictive models and utilizing advanced data analysis techniques to support various projects within the organization.
Previous Experience in Data Science
Prior to his current position, Upendra Vijay worked at US Tech Solutions as a Senior Data Scientist for 11 months from 2020 to 2021. He also served as a Development Consultant at Infogain from 2017 to 2020, where he contributed to various data-driven projects. His earlier experience includes a role as a Software Developer at Decimal Technologies Pvt Ltd from 2014 to 2017.
Technical Skills and Projects
Upendra Vijay has expertise in time series forecasting, specifically for Anti-Money Laundering (AML) case prediction, utilizing tools such as Darts N-BEATS, NeuralProphet, and ARIMA. He has developed and trained predictive models for various applications, including forecasting, classification, and summarization. Additionally, he implemented an end-to-end CI-CD pipeline for the RET project using technologies like Flask, Docker, Bitbucket, pytest, SonarQube, and Jenkins.
Education and Expertise
Upendra Vijay holds a Bachelor of Technology (B.Tech) degree in Computer Science and Engineering from Rajasthan Technical University, Kota. He further advanced his education by completing a postgraduate program in Data Science at the International Institute of Information Technology Bangalore. His academic background provides a solid foundation for his work in data science and analytics.
Communication and Decision-Making
In his professional roles, Upendra Vijay has effectively communicated actionable insights derived from data to non-technical audiences. This skill aids organizational decision-making and enhances the understanding of data-driven strategies within the company.