Contributed in the following areas, fully leveraging strong SQL and dashboarding skillset, analytical abilities, AI tools, and strong communication

Data Quality & Governance

• Assessed and redesigned the data quality intake process by identifying gaps and driving transition from free-text to structured inputs, improving consistency, traceability, and downstream usability

• Managed and triaged live data quality issues in Jira, ensuring SLA compliance and reporting issue trends to senior leadership.

• Developed end-to-end data flow diagrams using AI-assisted tools in Miro, increasing stakeholder alignment and lifecycle transparency.

Platform Analytics & Modernization

• Led behavioral tracking and funnel analysis via Google Analytics, mapping user journeys and identifying friction points to drive platform usability improvements.

• Built and optimized queries powering a Critical Data Elements (CDE) dashboard with tenant-level and rule-based drill-down for data governance initiatives.

• Supported next-gen Data Quality Platform delivery, including metrics automation, baseline benchmarking, and gap analysis against legacy systems.

Reporting & Automation

• Automated quarterly PayPal Active User and ERM KRI metrics reporting, reducing manual effort and improving accuracy for consumer and merchant datasets.

Address Management Service (AMS)

• Conducted SQL validation of high-resolution address data and supported regression testing across two version releases, contributing to a rollback decision based on identified data quality issues.

Metadata & Data Catalog

• Populated Collibra catalog templates per governance requirements, extracted CDEs, and verified Business Process Mappings.

• Used AI-assisted ERD generation and SQL analysis to quickly diagnose and remediate data quality gaps across complex datasets.

Using Data Science/NLP practice and research to work with API’s and create a wide array of projects.

• Created a RAG chatbot using Openai API and Pinecone API.

• Created a translator using Openai API

• Created a streamlit deployment that leveraged pre-trained models to perform image classification of numerous foods, fruits, and vegetables.

• Created a handwash monitoring program that uses CV and MediaPipe to detect if the user follows the steps of the handwashing process as outlined by the WHO (two input versions: Live webcam feed, video input)