Professional Background

Business Tech Analyst

Deloitte Consulting LLP

July 2022 - Present

California Department of Transportation

June 2024 - Present

  • Developing a GenAI application PoC to deliver real-time state-wide traffic and vulnerable road user insights prompted by natural language queries.

  • Leading data science and engineering processes for client and partner data sources.

  • News article: https://dot.ca.gov/news-releases/news-release-2024-016 

  • Skills: data strategy road mapping, data architecting, Google Cloud Platform, VertexAI, Gemini, Apache Beam, Python, SQL, QGIS, RAG, prompt engineering, user testing.

Meta Platforms

July 2022 - May 2024

  • TCO hardware capacity planning infra — 3rd engagement

    Developed TCO analytics dashboard for tracking component-level cost analysis and future-cost forecasting of hardware inventory.

  • Data warehouse anonymization — 2nd engagement

    Owned data warehouse anonymization program establishing privacy violation remediation workflows for FTC compliance.

  • External data misuse — 1st engagement

    Tracked and remediated external data misuse violations within the Trust & Safety team.

  • Skills: ETL pipelining, Python, SQL, PHP.

Maintenance Planning Intern

Alaska Air Group Inc.

May 2021 — August 2021

  • Collaborated with maintenance department staff to identify technical gaps in a routine aircraft maintenance scheduling process.

  • Conceived and developed an internal web application to improve and expedite scheduling by automating manual data entry, integrating data quality checks, and ensuring intuitive UX.

  • Continuously evaluated new user stories and requirements for agile feature integration while maintaining thorough documentation to ensure long-term usability.

  • Application demo (data blurred for privacy).

  • Skills: Python Dash, MS SQL Server, UI/UX design, wireframing, user stories & requirements, app version control.

Data Science Intern

Imperative Execution Inc.

January 2021 — April 2021

  • Designed and implemented a visual data model and database in PostgreSQL to track identification and resolution of trading anomalies in real time. 

  • Designed and developed a supporting dashboard application to monitor data consistency and view user workflow metrics.

  • Skills: Python, PostgreSQL, Database ERD.

Data Science Intern

Pittsburgh Bike Share Inc.

January 2021 — April 2021

  • Designed and implemented a visual data model and database in PostgreSQL to track identification and resolution of trading anomalies in real time. 

  • Designed and developed a supporting dashboard application to monitor data consistency and view user workflow metrics.

  • Skills: R, Tableau, GIS.

Education

Carnegie Mellon University

B.S. Information Systems, Minor in Statistics

Varsity Men’s Swimming & Diving

Volunteering

Club Ambassador

Golden Gate Triathlon Club

January 2025 — Present