Mahendra Singh
About Mahendra Singh
Mahendra Singh is a Business Intelligence Team Lead with extensive experience in managing complex projects and leading teams. He has a background in Electrical and Electronics Engineering and has developed advanced analytics capabilities using Tableau.
Work at kipi.bi
Mahendra Singh currently serves as the Business Intelligence Team Lead at kipi.bi, a position he has held since 2021. In this role, he leads a team of 20 professionals, focusing on requirement gathering and managing complex projects within the Business Intelligence domain. His leadership emphasizes the implementation of advanced analytics and the development of interactive dashboards, enhancing data accessibility for end users.
Education and Expertise
Mahendra Singh earned a Bachelor's degree in Electrical and Electronics Engineering from SU, completing his studies from 2011 to 2015. His educational background provides a strong foundation for his expertise in Business Intelligence and analytics. He has demonstrated proficiency in advanced analytics tools, particularly Tableau, where he utilizes Level of Detail (LOD) expressions, What-If analysis, and Predictive Analysis.
Background
Prior to his current role, Mahendra Singh gained diverse experience in the field of Business Intelligence and data analytics. He worked as a BI Trainer-Part Time at ExcelR Solutions from 2021 to 2022 and held positions at Fiserv as Lead Analyst and at Imarticus Learning as a Data Science Specialist. His career also includes a role as a Consultant at EY and as a Senior Business Intelligence Consultant at Uneecops Technologies Ltd.
Achievements
Throughout his career, Mahendra Singh has successfully implemented various projects that demonstrate his capabilities in Business Intelligence. He developed an internal application that was deployed for over 200 onshore users, showcasing his ability to create effective solutions. Additionally, he automated the manual process of collating data from multiple sources, including Teradata, SQL, Excel, Access, and flat files, improving efficiency in data management.