Nagesh Kommuri
About Nagesh Kommuri
Nagesh Kommuri is a Senior Data Scientist currently employed at Trueblue in Verona, Italy, with a background in data science and analytics across various organizations, including CEPS and the Asian Development Bank. He holds a Master of Science from Università di Trento and a Bachelor of Technology from Jawaharlal Nehru Technological University.
Work at Trueblue S.p.a.
Nagesh Kommuri has been employed as a Senior Data Scientist at Trueblue since 2021. His role involves leveraging data science techniques to enhance decision-making processes within the organization. Trueblue operates in Verona, Veneto, Italy, where Kommuri applies his expertise to develop analytical solutions that support business objectives.
Previous Experience in Data Science
Prior to his current position, Nagesh Kommuri worked at the Asian Development Bank (ADB) as a Data Scientist for one month in 2021. He also served as a Research Intern in Data Science at the Centre for European Policy Studies (CEPS) in 2020 for five months, gaining valuable experience in data analysis and research methodologies.
Education and Expertise
Nagesh Kommuri holds a Master of Science degree from Università di Trento. He also earned a Bachelor of Technology (B.Tech.) from Jawaharlal Nehru Technological University, Kakinada. His educational background provides a strong foundation in data science and analytics, enabling him to contribute effectively in his professional roles.
Career Background in Data Science
Nagesh Kommuri has a diverse career in data science, having worked at several organizations. He was a Manager in Reporting and Analytics at Bajaj Finserv from 2017 to 2018 and a Software Engineer in Data Science at Atos Syntel from 2014 to 2017. Additionally, he completed a project trainee role at Tata Consultancy Services in 2013-2014.
Key Projects and Contributions
Throughout his career, Nagesh Kommuri has developed stochastic models for churn and retention analytics, customer lifetime value, and customer lifecycle management recommendations. He has also collaborated with stakeholders to deploy marketing models with high user adoption and developed a multi-tenant analytical engine that integrates various analytical techniques.