Priyanshu Srivastava
About Priyanshu Srivastava
Priyanshu Srivastava is a Business Intelligence Engineer II specializing in B2B Behavioral Analytics at LatentView Analytics in San Jose, California. He holds a Master of Science in Business Analytics from The University of Texas at Dallas and has extensive experience in data engineering and business analysis across various sectors.
Work at LatentView Analytics
Currently, Priyanshu Srivastava holds the position of Business Intelligence Engineer II in B2B Behavioral Analytics at LatentView Analytics. He has been with the company since 2021 and is based in San Jose, California. In this role, he focuses on analyzing business data to provide insights that drive decision-making and enhance client understanding. His work involves utilizing various analytical techniques to improve business outcomes.
Education and Expertise
Priyanshu Srivastava earned a Master of Science in Business Analytics with a concentration in Data Science from The University of Texas at Dallas, completing his studies from 2018 to 2019. He also holds a Bachelor of Engineering in Computer Science from Birla Institute of Technology, Mesra, where he studied from 2010 to 2014. His educational background equips him with a strong foundation in data science and analytics.
Professional Background
Priyanshu has a diverse professional background, having worked in various roles related to data engineering and business analysis. Prior to his current position, he served as a Business System Analyst at Blue Yonder from 2020 to 2021. He also gained experience as a Data Science Intern at Teradata in 2019 and worked as a Business Intelligence Engineer at Cognizant from 2015 to 2017. His experience spans the pharmaceutical and investment banking sectors.
Technical Skills and Proficiencies
Priyanshu possesses a wide range of technical skills relevant to data analysis and business intelligence. He is proficient in programming languages such as R, SQL, Python, SAS, Hive, Impala, Scala, and PL/SQL. His expertise includes concepts like regression, clustering, classification, and optimization techniques. He has also implemented unsupervised learning algorithms during his internship, demonstrating his capability in advanced data analytics.
Achievements in Data Science
During his internship at Teradata, Priyanshu implemented unsupervised learning algorithms, including clustering and natural language processing. This initiative resulted in significant resource savings, amounting to millions. His work has focused on bridging the gap between business and technology, enhancing client understanding of data and actionable insights through effective data extraction, transformation, and visualization.