Employment

OMD Worldwide
Tools: SQL, Python, R, Power BI, AWS Redshift, GitLab, Excel
Global Manager, Marketing Science, Marketing Science                                                                Apr 2025 - Present

Global Associate Manager, Marketing Science                                                                                 Jun 2022 - Mar 2025

• API Management: Managing configuration and maintenance of 15+ API feeds, including discrepancy identification and resolution with the API vendor + associated publisher. Discrepancies are less than 1% across multiple metrics on a date-advertiser granularity level

• Data Investigation: Resolving reporting side's anomalies influenced by non-compliant data inputs from various offshore teams (20+ countries)

• Automation & Scripting: Writing scripts to automate various aspects of data processing, enhancing productivity by at least 20%

• Data Governance: Ensuring internal teams are entering and uploading all key data connectivity elements into buying systems and vendor platform systems according to organizational standards

Chegg
Tools: SQL, Python, R, Tableau, Excel
Technical Expert (Part-Time)                                                                                                                       Aug 2022 - May 2024

• Interviewing & Constructive Feedback: Conducting mock interviews and providing feedback to 100+ future data analysts

• Coaching: Developing study strategies, providing academic resources, and advising students on how to navigate their professional responsibilities

• Job Hunting Prep: Preparing mock interviews and providing innovative job hunting strategies (both active and passive methods) to enhance interview rates, resulting in most mentees receiving full-time or internship offers

American Advisors Group
Tools: SQL, Python, Power BI, Tableau, Excel
Data Analyst                                                           Dec 2021 - Jun 2022

• Machine Learning: Applied Bayesian Linear model to forecast 4 months' worth of call count volumes in order to determine the loan officers' staffing counts (Scatter Index score of 0.1, or root mean squared error of 10%, on various training data)

• Visualization Analytics: Developed, designed, and maintained dashboards to monitor call center staff performances, home value trends from 2000 to 2022 across the country, and dialer system metrics to shape marketing and staffing decisions 

• Data Management: Created, enhanced, and updated some of the SQL server's stored procedures for data analytics. Applied text parsing techniques to extract crucial pieces of information from call event logs and other notes, which enhanced data cleanliness and usability

• Domain Knowledge: Developed a waterfall of post status reasons to track the web leads that fail to make it to the dialer, exposing high costs ($500k+) in web lead advertisements with low-to-no yield in returns

Food & Drug Administration
Tools: SQL, Python, R, AWS QuickSight, Power BI, Tableau, Excel
Data Analyst                 Oct 2020 - Dec 2021

• ETL & Big Data: Verifying, consolidating, and analyzing data from multiple platforms to expand the usability of the FoodTrak database (comprehensive data of the US food supply), supporting the release of health guidances, such as the Voluntary Sodium Reduction Guidance 2021

• Team/Project Management: Managing the FoodTrak database, initiating objectives, and providing technical consultation for the team to construct the database used by the whole FDA agency (about 14k employees)

• Visualization, U/I, & Web Analytics: Building the FoodTrak U/I platform to enhance data comprehension and support 100+ ongoing nutrition, allergen, and ingredient research projects

• Research & Domain Knowledge: Researching sodium alternatives and allergens commonly used in the US food supply, to create reports and visualizations used by 5 different research teams

Correlation One
Tools: R, AWS Sagemaker
Data Science Fellow           Oct 2020 

• Big Data & Machine Learning: Applied regular expression techniques to sanitize data (~1 million reviews of Amazon's fashion products) before implementing model training techniques, such as Random Forest & Logistic Regression, that would score at least 90% prediction accuracy on the validation data

• Sentimental Analysis & Forecasting: Predicted the sales of the fashion products based on sentiment analysis of reviews and presented results to an international forum of over 250+ audience members
  
  

UCLA Department of Asian American Studies
Tools: R,  Power BI, Excel
Research Analyst                                                                                                                                                 Mar 2020 - Jun 2020

Worked with Professor Jennifer Jung-Kim from the department of Korean Studies in order to explore the obesity rates among Asian/Asian American students at the university. The tasks include:

• Data Collection: Implemented a comprehensive survey that examined 200+ people from a social-economic level perspective

• Logistic Regression & Cross-Validation: Analyzed gathered data through the use of logistic regression and cross-validation, resulting in an observed 20-30% difference in obesity levels between students with a Filipino background and other Asian/Asian American students

• Research Recommendation: Designed proposals in order to enhance the development of future studies that focus on the relationships between Asian Americans and their health, to discourage practices that would produce biased results
  
  

Fullscreen
Tools: R, Excel
Human Resources Analyst Intern                                                                                                              Jun 2019 - Aug 2019

• EDA & Data Analysis: Consolidated, sanitized, and analyzed the HR data to discover pay discrepancies amongst people of the same tier roles with differing demographic attributes and DiSC scores, convincing management to address the bias within the company

• Logistic Regression: Utilized logistic regression to forecast future turnovers for each sector of the company and to prevent further turnovers by at least 10%

• Visualization: Visualized results in ggplot & PowerPoint to deliver comprehensive information to ~300 people of all statistical backgrounds
  
  

Sunset Canyon Recreation Center
Operations & Events Supervisor                                                                                                               Aug 2017 - Mar 2020

• Provided exceptional customer service with daily volume exceeding 100 guests and promptly addressing all questions and concerns; as well as appropriately redirecting guests to coherent parties

• Inspected the facility and equipment usages daily and notify management of any infractions while maintaining standards (including but not limited to cleanliness, aesthetics, and violations)

Volunteering Experience

UCLA Statistics Club
Industry/Graduate Mentor     2020 - 2022

• Leveraging ambitious students into building their careers in Statistics & Data Science

• Coaching on resume building, job-hunting strategies, and interview prepping. Successfully helped them towards landing their first jobs in this field

Education

Georgia Tech
Master of Science: Analytics
Specialization: Analytical Tools (Data Science)

University of California, Los Angeles
Bachelor of Science: Statistics
Minor: Food Studies