About me
I'm a Search Quality Analyst at Google and a recent graduate from the University of California San Diego with a passion for improving the quality, accessibility, and movement of information.
As an undergraduate Data Science student, I learned how to use various tools to deeply understand data and visualize it clearly. The curriculum included advanced data structures, integral Computer Science topics, Statistics, Linear Algebra, and Calculus.
Current Work
Google - Search Quality Analyst
June 2022 - Present
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Analyzed and prevented manipulation of ranking signals.
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Developed comprehensive dashboards and visualizations using Python and GoogleSQL to monitor performance metrics for reducing webspam.
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Conducted detailed analysis on emerging issues, such as AI-generated content, and produced insightful reports to guide effective decision-making across teams.
Previous Work
Forward Slope, Inc. - Software Engineer Intern
Feb. 2022 - April 2022
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Wrote a script that analyzes files and detects plagiarism.
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Authored documentation on best practices for software engineering.
MarketFlare - Part Time Data Wrangler
Jan. 2020 - March 2022
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Consolidated Google Ads, Bing Ads, and Yahoo Japan Ads campaign performance data via APIs.
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Developed Python scripts to efficiently transform and wrangle data for storage in Cloud MySQL.
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Leveraged compute resources using parallelization libraries such as Dask and PySpark.
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Enhanced solution reusability with modular development and configurable variables.
Unite Us, Inc. - Data Analyst Summer Intern
June 2021 - July 2021
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Analyzed Amazon Redshift query outputs, CSVs, and Tableau dashboards for discrepancies.
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Documented findings using Pandas and Jupyter Notebooks.
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Presented internal findings and provided explanations for data inconsistencies.
Projects
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Algorithmic Fairness & Audit
: Developed, audited, and improved a classification algorithm using intersectionality analysis and preprocessing techniques to enhance equity.
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ModsInCheck
: A Django project that tracks moderator activity on subreddits based on post removal counts.
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DSC80 Project05
: Developed regression models to predict ad spend for SnapChat political ads.
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Mainland China's Global Investments Visualized
: Utilized Google Viz to illustrate the rise and fall of Mainland China's global investments.
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Webscraping:
Skills
I'm proficient in the following:
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Python
- Pandas, NumPy, Scikit-learn, Dask, PySpark, gspread, and other libraries
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JavaScript
- Google Visualization API, Highcharts
- Tableau
- MATLAB
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SQL
- Relational Algebra, Database Design
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AWS
- Java
- RStudio
- HTML/CSS
- Microsoft Azure
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OAuth 2.0 and APIs for Google Ads, Bing Ads, and Yahoo Japan Search Ads
Contact
You can find me on
Twitter
and
LinkedIn.