Banavath Vijay
About Banavath Vijay
Banavath Vijay is a Data Analyst at Coupa Software with a background in Computer Science from Lewis University and Jawaharlal Nehru Technological University.
Current Position at Coupa Software
Banavath Vijay currently works as a Data Analyst at Coupa Software located in Illinois, United States. His role at Coupa Software involves applying his expertise in data analysis to support various business functions. His work mainly encompasses tasks related to data acquisition, cleaning, exploration, and modeling, leveraging his proficiency in Python and big data technologies.
Previous Experience at Advanced
Before joining Coupa Software, Banavath Vijay worked as a Data Analyst at Advanced in India from 2019 to 2021. During his tenure of 2 years, he utilized his skills in data analysis to improve various business operations. His prominent contributions included developing regression models using R programming for demand forecasting and creating performance-based client billing reports with MySQL databases.
Education at Lewis University
Banavath Vijay pursued his Master of Science (MS) in Computer Science at Lewis University from 2021 to 2023. During his studies, he gained advanced knowledge in the field of computer science, focusing on data science and analysis. His academic experience at Lewis University equipped him with critical skills in programming and data management, which he applied in his professional career.
Bachelor's Degree from Jawaharlal Nehru Technological University
Banavath Vijay earned his Bachelor of Engineering (BE) in Computer Science from Jawaharlal Nehru Technological University. He studied there from 2014 to 2018. This foundational education provided him with a comprehensive understanding of computer science principles, laying the groundwork for his future specialization in data analysis and big data technologies.
Data Analysis Projects and Expertise
Banavath Vijay has extensive experience in various data analysis projects. He has developed categorization models in Python to identify customer loss, aiding in improved customer retention. Additionally, he performed regression analysis in R for demand forecasting and created monthly client billing reports with MySQL databases. His expertise also includes managing data storage and processing with big data tools such as Hadoop, HDFS, Hive, and Spark. These projects underscore his proficiency in handling complex data sets and deriving actionable insights from them.