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My Projects
Customer Churn Prediction

Customer Churn Prediction

This project analyzes customer churn data to identify the key factors influencing whether a customer leaves a telecom service. Using skills in data wrangling, exploratory data analysis (EDA), and statistical correlation, the project uncovers that features like contract type, tenure, and payment method are highly associated with customer retention.

Python Machine Learning Data Analysis
Details
Book Expectations Podcast

Economic Articles

Wrote articles on various economic topics such as women job search behavior and the impact of COVID-19 on the consumption of literature.

Economics Research Writing
Details
Personal Website

Personal Website

Design and development of my personal portfolio website showcasing my skills and projects.

HTML CSS JavaScript
Econometrics Research

Book Expectations Podcast

A literary podcast exploring contemporary fiction and the expectations readers bring to different genres and literary traditions.

Adobe Audition Audio Editing Audacity
Details
Stay in touch!

05isabelchen@berkeley.edu

LinkedIn GitHub