Cathy Hung

Cathy Hung has a diverse work experience in data analytics and marketing. Cathy started their career as a Market Research Analyst Intern at Edelman in 2016. Cathy then moved on to work as a Marketing Specialist at The Estée Lauder Companies Inc. in 2017. In 2019, they joined ConsumerTrack, Inc. as a Data Analytics Intern, where they performed customer profile analysis and conversion funnel analysis. Cathy also analyzed customer data points and delivered descriptive customer analysis to the analytics team leads. In 2020, Cathy joined Thrive Causemetics Inc. as a Senior Data Analyst, where they focused on advanced and predictive data analytics. Cathy created marketing mix models to determine the effectiveness of online and offline marketing channels and performed text analytics on product review data. Cathy also forecasted customer acquisition and retention using time series models. Currently, Cathy is working at Intercom as a Data Scientist. Cathy has developed multi-touch attribution models and created a comprehensive reporting dashboard to analyze program and campaign performance. Cathy utilizes Python and sankey charts to visualize conversion journeys and provides insights to enhance user experiences. Overall, Cathy has a strong background in data analytics and marketing, with a focus on leveraging data to drive marketing success and optimize campaign impact.

Cathy Hung completed their Master's degree in Business Analytics from the University of Southern California from 2018 to 2019. Prior to that, they obtained a Bachelor of Social Science in Bio-Industry Communication and Development from the National Taiwan University. Additionally, Cathy has acquired various certifications, including "Advertising on Pinterest" from LinkedIn in May 2020, "Data Manipulation with pandas" from DataCamp in March 2020, "Intermediate Importing Data in Python" from DataCamp in March 2020, "Managing Email Marketing Lists and Campaigns" from LinkedIn in March 2020, "Predicting CTR with Machine Learning in Python" from DataCamp in March 2020, "Introduction to Data Engineering" from DataCamp in February 2020, "Introduction to Network Analysis in Python" from DataCamp in February 2020, "Advanced SQL for Data Scientists" from LinkedIn in October 2019, "Advanced SQL for Query Tuning and Performance Optimization" from LinkedIn in October 2019, "Web Scraping in Python" from DataCamp in October 2019, "Amazon Web Services: Exploring Business Solutions" from LinkedIn in September 2019, "Building a Recommendation System with Python Machine Learning & AI" from LinkedIn in September 2019, "Customer Analytics & A/B Testing in Python" from DataCamp in September 2019, "HR Analytics in Python: Predicting Employee Churn" from DataCamp in September 2019, "Python Data Science Toolbox (Part 1)" from DataCamp in September 2019, "Python Data Science Toolbox (Part 2)" from DataCamp in September 2019, "Joining Data in SQL" from DataCamp in June 2019, "Data Analysis with Spreadsheets" from DataCamp in May 2019, "Intermediate SQL Server" from DataCamp in May 2019, and "Intro to SQL for Data Science" from DataCamp in May 2019.