Nithin Sarva

Master's

Data Analytics

Center for Global Mental Health Equity GWU

Research Specialist III

1.Developed and implemented data quality checks and Data Asset Management strategies to standardize derived datasets across 3 countries, ensuring Data Quality and consistency for downstream analytics. 2.Designed and maintained logical and physical data models to enhance infrastructure scalability and optimize data storage for future growth. 3.Implemented a real-time Metabase dashboard displaying mental health metrics across three countries, empowering 50+ field workers to target interventions and improving resource allocation by $20,000 annually. 4.Designed, built, and deployed robust ETL pipelines and Data Pipelines using Python, integrated with CI/CD workflows, enabling Business Intelligence Engineers (BIEs) to create business-centric dashboards, showcasing expertise in Data Engineering.