• Served as a Teaching Assistant for the CS425-SWE class, focusing on Software Engineering principles.• Supported students in understanding complex concepts, providing tutoring, troubleshooting, and additional resources as needed.• Offered hands-on guidance to students on projects and coding exercises.

• Migrated 13 IBM Cognos packages to Google Looker, reducing maintenance costs by 15% and positively impacting over 300 global users.• Collaborated with cross-functional teams to integrate geolocation hierarchies into multiple Explores using LookML and SQL, increasing regional data utilization by 12% and improving analysis capabilities for over 200 team members worldwide.• Worked closely with Data Engineers and the Product Owner using Google BigQuery and SQL to migrate complex aggregation functions, increasing data accuracy by 15%.• Developed 30+ reports and dashboards using LookML and SQL, enhancing business intelligence insights and improving report generation speed by 18% for over 150 active users.• Automated testing for LookML models using Python and Looker API, reducing manual validation time by 20%, enabling faster deployment cycles, and improving the code review process for 5 development teams.• Optimized LookML models and queries across all packages, using persistent derived tables and SQL optimizations, resulting in a 15% improvement in query efficiency and reducing overall processing time for daily data pulls.• Worked with the Product Owner to create and document usage guidelines for Looker Explores using Camtasia, improving the usability and accessibility of reports for over 200 global end-users and enhancing their understanding of key data insights.

• Conducted data analysis using Pandas and Matplotlib, helping to improve yield by 5% and decrease the Retest rate by 7%.• Built 2 weekly and 1 monthly dashboards using Matplotlib and Seaborn, providing insights that enhanced decision-making for the team and improved monitoring of key product health indicators.