Technical Skills

  • Programming Languages:
    • Python, SQL, Java, R, JavaScript
  • Platforms/Tools:
    • AWS, GCP, Power BI, Databricks, PySpark, Airflow, Kafka, ADF, Scikit-Learn
  • Databases/Datawarehouses:
    • Microsoft SQL Server, Google BigQuery, Snowflake, MySQL
Education

University of California Irvine
Sep 2022-Dec 2023
  • Masters of Data Science
  • GPA: 3.65
  • Awards:
    Chapman University
    Sep 2019-May 2022
    • B.S. / Bachelor of Software Engineering
    • GPA: 3.63
    • Awards:
      • Cum Laude
      • Provost's List
    University of San Diego
    Sep 2014-Dec 2018
    • B.B.A / Bachelor of Business Administration
    • GPA: 3.56
    • Awards:
      • Academic Excellence in Business Administration
      • Departmental Honors in Business Administration
    Experiences

    Mr. Cooper, Dallas, TX (remote)
    June, 2023-Present

    Software Developer

    • Developed ETL pipelines on GCP Databricks using Python, SQL, and Airflow, enabling real-time Machine Learning Analysis.
    • Modeled SQL Data Warehouse Tables on Google BigQuery to efficiently store GPT chatbot data in a structured format.
    • Improved data pipeline efficiency and reduced associated costs by migrating ETL pipelines from Azure Data Factory (ADF) and SQL Server Integration Services (SSIS) to GCP Databricks.
    • Developed Java Kafka pipelines, helping automate transitioning thousands of loans from originations to servicing.
    Pacific Life Insurance, Newport Beach, CA
    May, 2022-June 2022

    ETL Developer

    • Architected and implemented a solution consisting of a Microsoft SQL Server Database, Python ETL Program, & Microsoft Power BI Dashboard, providing near real-time insights for IT Business Executives and security analysts on endpoint security.
    • The SQL database was designed using ER-diagramming and accommodated diverse data models.
    • The ETL program extracts data from multiple sources via REST APIs and utilizes Python libraries & SQL to transform data.
    • The Power BI Dashboard contains interactive visualizations with drill-down capabilities, allowing users custom datasets.
    humanID, Cambridge, MA (remote)
    Jan 2021-Apr 2022

    Software Developer Intern

    • Using AWS services (EC2, S3), Python, and SQL, developed REST APIs to enable RBAC features for the Developer Console.
    • Achieved a 15% improvement in a KPI, monthly disk I/O operations, by optimizing the SQL database’s indexes and queries, with performance enhancements measured through AWS CloudWatch monitoring of the EC2 server.
    • Ensured data quality and integrity by implementing Python unit tests into the GitHub Actions CI/CD pipeline.
    Pacific Life Insurance, Newport Beach, CA
    Jan 2020-August 2020

    Web Developer Intern

    • Developed for an internal blog for the HatchLabs division of Pacific Life, serving as a centralized platform for employees to gain insights into the division's innovative projects.
    • Built various UI pages using React.js and leveraged GraphQL to query data from Contentful CMS, enabling dynamic content rendering and seamless integration of data into the blog.
    • Engineered a highly customizable React Grid component that became an integral part of the codebase by providing a flexible and consistent layout structure for nearly all pages and components, saving developer hours in development.
    Research

    Children’s Hospital of Orange County (CHOC), Orange, CA
    Sep 2023-Current

    Research Intern

    • Utilized Python and Scikit-Learn to develop a feature engineering framework that finds optimal Histogram of Oriented Gradients (HOG) feature descriptors and SVM hyperparameters for Computer Vision Machine Learning.
    • Developed an explainable AI method for Computer Vision models by using weights from trained SVM models.
    • Leveraged the TensorFlow Keras GradientTape API to determine which regions of images are most important for CNNs.
    University of California, San Diego Airway Research and Clinical Trials Center, San Diego, CA
    June 2017-May 2018

    Undergraduate Researcher

    • Organize and input raw patient data, worked with medical staff to collect samples from patients, and performed spirometer respiratory function and DLCO tests on patients.
    • Co-author of abstract: Abstract 2018 American Thoracic Society: Electronic Cigarette, Conventional Cigarette and Marijuana Use Patterns in San Diego County