Navdeep Nagpal
About Navdeep Nagpal
Navdeep Nagpal is a Senior Business Intelligence Manager at Anaplan, where he has worked since 2023. He has over a decade of experience in data warehousing and business intelligence, with expertise in Cognos BI, Tableau, and the Hadoop ecosystem.
Work at Anaplan
Navdeep Nagpal serves as a Senior Business Intelligence Manager at Anaplan, a role he has held since 2023. His position is remote and based in the United States. In this capacity, he leverages his extensive experience in business intelligence to enhance data-driven decision-making processes within the organization.
Previous Experience at HCL Technologies
Before joining Anaplan, Navdeep worked at HCL Technologies as a Senior Technical Lead from 2009 to 2012. During his three years at the company, he contributed to various technical projects, focusing on delivering solutions that met client needs.
Background in Data Analytics
Navdeep has a robust background in data analytics, having worked as a BI, DW, Data Analytics, and Big Data Consultant at Citizens Property Insurance Corporation from 2014 to 2023. His role involved utilizing consultative techniques to improve customer understanding of business processes through business intelligence technology.
Education and Expertise
Navdeep holds a Master of Computer Applications (MCA) degree from M.D. University, Rohtak, which he completed from 1999 to 2002. He is certified in TOGAF 9.2 and Power BI, indicating his expertise in enterprise architecture and business analytics. Additionally, he has completed certifications in Introduction to Big Data and Apache Hadoop essentials.
Technical Skills and Achievements
Navdeep has over a decade of experience in data warehousing and business intelligence products, particularly with Cognos 11 Analytics. He is proficient in the full life cycle development of the Cognos BI reporting environment and has developed dashboards using Tableau. His technical skills extend to the Hadoop ecosystem, where he has experience with tools such as MapReduce, HDFS, and Spark.