Ranjan Epili
About Ranjan Epili
Ranjan Epili is a Software Engineer II specializing in data science, with a strong foundation in mathematics and a passion for deep learning. He has worked at various companies, including VIT Infotech and GOACHIEV Technologies, and currently contributes to HighRadius in Bhubaneswar, India.
Current Role at HighRadius
Ranjan Epili currently holds the position of Software Engineer - II (Data Science) at HighRadius. He has been with the company since 2021 and is based in Bhubaneswar, Orissa, India. In this role, he applies his data science expertise to develop and implement advanced solutions, contributing to the company's focus on financial technology.
Previous Experience in Data Science
Before joining HighRadius, Ranjan Epili worked as a Data Scientist at VIT Infotech from 2019 to 2021. His tenure at VIT Infotech lasted for two years and took place in Bengaluru, Karnataka, India. Prior to that, he served as a Data Scientist at GOACHIEV TECHNOLOGIES PRIVATE LIMITED from 2017 to 2019, also in Bengaluru. These positions provided him with substantial experience in data analysis and machine learning.
Education and Expertise
Ranjan Epili earned his Bachelor of Technology (BTech) degree in Electrical and Electronics Engineering from Biju Patnaik University of Technology, Odisha. His studies spanned from 2012 to 2016, equipping him with a solid foundation in mathematics and engineering principles, which supports his current work in data science.
Passion for Deep Learning
Ranjan Epili has a strong passion for deep learning, which reflects his focus on advanced machine learning techniques. This interest drives his professional development and enhances his contributions to projects in the field of data science.
Involvement in the Python Open-Source Community
Ranjan Epili actively participates in the Python open-source community. His involvement demonstrates his commitment to collaborative development and knowledge sharing within the programming community, particularly in the context of data science and machine learning.