Anup Poudyal
About Anup Poudyal
Anup Poudyal is an Engineering Manager at Abacus Insights, with over 12 years of experience in healthcare data analytics. He has held various roles in data engineering and quality analysis across multiple organizations, including COTIVITI NEPAL and Tufts Health Plan.
Work at Abacus Insights
Anup Poudyal currently serves as the Engineering Manager at Abacus Insights, a position he has held since 2023 in Boston, Massachusetts. Prior to this role, he worked as a Principal Data Quality Analyst at the same company from 2022 to 2023. His responsibilities include overseeing engineering projects and ensuring the quality of data analytics processes.
Previous Experience at COTIVITI NEPAL
Anup Poudyal has extensive experience at COTIVITI NEPAL, where he held multiple roles from 2009 to 2015. He began as an Associate Software Engineer and progressed to Software Engineer, Principal Engineer, and Data Analytics Expert. His tenure included a significant role as a Data Engineer from 2015 to 2019, where he contributed to data engineering projects.
Experience at Tufts Health Plan
Anup Poudyal worked at Tufts Health Plan as a QA Engineer for Automated Deployments from 2019 to 2020. In this role, he was responsible for ensuring the quality of software deployments, contributing to the overall efficiency of the organization's IT processes.
Education and Expertise
Anup Poudyal holds a Bachelor’s degree in Computer Engineering from the College of Information Technology & Engineering, where he studied from 2004 to 2008. He also completed his high school education at Birat Science Campus, Biratnagar, Nepal. He is a certified SAFe 4 Practitioner, demonstrating his proficiency in agile methodologies, and possesses expertise in data engineering, cloud technologies, and CI/CD processes.
Healthcare Data Analytics Experience
Anup Poudyal has over 12 years of experience in healthcare data analytics. His work focuses on extracting and analyzing health information to develop insights for flagship products. He conducts complex cross-functional analyses of healthcare data from various sources to identify outcomes and create actionable business intelligence.