Shanu Agrawal
About Shanu Agrawal
Shanu Agrawal is a Data Scientist with a background in Electronics and Telecommunication Engineering and Industrial and Management Engineering. He has worked at Robert Bosch Engineering and Business Solutions Private Limited for ten years, specializing in predictive analytics, time series analysis, and machine learning applications in manufacturing.
Work at Robert Bosch Engineering and Business Solutions
Shanu Agrawal has been employed at Robert Bosch Engineering and Business Solutions Private Limited since 2014. In the role of Data Scientist, he has focused on applying data science techniques to various projects. His work primarily involves utilizing machine learning to address challenges within the manufacturing sector. Based in Bangalore, he has contributed to the company's efforts in enhancing operational efficiency through data-driven solutions.
Education and Expertise
Shanu Agrawal holds a Bachelor of Engineering degree in Electronics and Telecommunication Engineering from Bhilai Institute of Technology, Durg, where he studied from 2008 to 2012. He furthered his education at the Indian Institute of Technology, Kanpur, earning a Master of Technology (MTech) in Industrial and Management Engineering from 2012 to 2014. His academic background provides a solid foundation for his expertise in predictive analytics and time series analysis.
Technical Skills and Tools
Shanu Agrawal possesses strong programming skills in languages such as Python and R, which are essential for data analysis and machine learning applications. He is also proficient in data visualization tools, particularly Tableau, enabling him to present complex data insights in an accessible manner. His technical capabilities support his specialization in solving manufacturing problems through innovative machine learning techniques.
Specialization in Machine Learning
Shanu Agrawal specializes in applying machine learning techniques to resolve issues within the manufacturing domain. His focus on predictive analytics allows him to forecast trends and optimize processes. By leveraging his expertise, he contributes to the development of data-driven strategies that enhance productivity and efficiency in manufacturing operations.