Ramendra Tyagi
About Ramendra Tyagi
Ramendra Tyagi is a Data Scientist at Iris Software Inc. in Noida, India, with a Master's degree in Information Technology from Rajiv Gandhi Prodyogiki Vishwavidyalaya. He has over eight years of experience in various roles, including System Analyst and Senior Technical Consultant.
Work at IRIS Software
Ramendra Tyagi has been employed at Iris Software Inc. since 2021, serving as a Data Scientist. His role involves analyzing complex data sets to inform business decisions and enhance operational efficiency. Prior to his current position, he worked at Iris Software Inc. as a Senior Technical Consultant from 2018 to 2021 and as a Solution Consultant from 2020 to 2021. His experience at Iris Software spans multiple roles, showcasing his expertise in data analysis and technical consulting.
Education and Expertise
Ramendra Tyagi holds a Master’s Degree in Information Technology from Rajiv Gandhi Prodyogiki Vishwavidyalaya, where he studied from 2010 to 2013. He also earned a Bachelor’s Degree in Information Technology from Jiwaji University, completing his studies from 2007 to 2010. His educational background provides a strong foundation in data science and technology, contributing to his professional capabilities.
Background
Ramendra Tyagi began his career as a UI Developer at Sparx IT Solutions Pvt Ltd, where he worked from 2013 to 2015. He then transitioned to Eperium Business Solutions as a System Analyst, holding that position from 2015 to 2018. His diverse work experience includes roles that have enhanced his skills in both technical and analytical domains, preparing him for his current role in data science.
Professional Experience
Before his current role as a Data Scientist, Ramendra Tyagi accumulated significant experience at Iris Software Inc. He worked as a Senior Technical Consultant for three years and briefly as a Solution Consultant. His previous position as a System Analyst at Eperium Business Solutions further solidified his analytical skills and understanding of system processes, which are critical in his current data-driven role.