Damodar Regmi, MBA
About Damodar Regmi, MBA
Damodar Regmi is a Senior Data Developer with extensive experience in data engineering and a strong background in technology solutions. He has worked for notable companies such as Boeing and Microsoft, and currently serves at Exeter Finance, specializing in predictive modeling and performance optimization.
Current Role at Exeter Finance
Damodar Regmi serves as a Senior Data Developer at Exeter Finance, a position he has held since 2015. In this role, he focuses on designing, developing, and implementing technology solutions within the data engineering field. His responsibilities include utilizing various technical tools and methodologies to enhance data systems and processes.
Previous Experience at Boeing and Microsoft
Before joining Exeter Finance, Damodar Regmi worked at Boeing as a Senior Database Consultant from 2013 to 2015. He also held a position as a BI Consultant at Microsoft for 10 months in 2013, both roles located in the Greater Seattle Area. Additionally, he worked as a Developer at Boeing from 2011 to 2012.
Educational Background
Damodar Regmi completed his MBA in International Business and Project Management at Northwest University from 2011 to 2013. He also holds a BBS in Investment and Accounting from Tribhuvan Vishwavidalaya, which he earned from 2001 to 2004. Furthermore, he studied Computer/Information Technology at The University of Dallas from 2008 to 2010.
Technical Skills and Expertise
Damodar Regmi possesses a strong ability to design, develop, and implement technology solutions in data engineering. His expertise includes performance tuning and optimization for data systems. He is experienced in using tools such as Databricks, Pyspark, and Hive, and specializes in predictive modeling, scoring, classification/regression, and forecasting.
Project Management Methodologies
In his data engineering projects, Damodar Regmi utilizes both Agile and Waterfall project management methodologies. His effective troubleshooting and debugging experience contribute to the successful execution of projects, ensuring that data solutions meet organizational needs.