Jenny | Fraud & Quality Analyst at Apple App Store

Jenny

Fraud & Quality Analyst at Apple App Store

Based in California

About

Hi, I'm Jenny! I'm new to Data Analytic and still learning. I would like to become a data analysis one day, because I enjoy working with data and I believe that the ability to find insightful information from data analysis is one of the coolest super powers anyone could have. For me, I have over five years of experience in the iOS app review and data analytics, I am a Quality & Fraud Analyst with the App Store Compliance team at Apple, where I investigate fraudulent apps and developers, applying keen investigative skills and a strong grasp of the App Store Review Guidelines. Quality auditing app review processes, ensuring app reliability, performance, and compliance with guidelines. Let's see how data takes us on this journey! Cheers, Jenny

Skills

Projects

Super Store Sales and Customers Analysis

This data analysis project provide insights infomation of sales performance and customer's behvaivior of a Super Store over the past years. By analyzing various aspect of sales data, we can learn about customers behaviors and can identify shopping trends to provide data-driven recommendations.

US Teen Moms

This visualization is demonstrating the rate of teenagers (14-19 years old) moms in the USA, by their ages group and races.

Experience

2018- Present

Fraud & Quality Analyst @Apple

Investigated fraudulent apps and developers, applying keen investigative skills and a strong grasp of App Store Review Guidelines. Utilized Excel, Sublime Text, Python, internal admin tools, and external research tools. Ensured app reliability, performance, and compliance with guidelines, resolving issues effectively. Audited and improved app review process quality. Collaborated with cross-functional teams, including engineering, policy, legal, and executive stakeholders. Conducted ad-hoc

2016- 2018

Data Rating & Labeling @ Meta

Performed content monitoring and quality assurance at Facebook, collaborating with product teams. Assessed Facebook places pages, applying rapid and accurate attribute quality evaluation based on project guidelines and policies. ● Detected patterns and delivered feedback to enhance data quality to engineers. ● Oversaw, rated, categorized, and labeled digital content, including videos, on Facebook. - Moderated contents, investigated and reported for sensitive contents.

Education

September, 2023

Google Data Analytics

March, 2009

MBA - Hospitality and Tourism Management

MBA - Hospitality and Tourism Management - Strayer University, Washington, DC

August, 2005

BA - Liberal Arts

Japanese Studies - Thammasat University, Bangkok - Thailand.