Skip to content
View Lorre-Ramon's full-sized avatar
🎯
Focusing
🎯
Focusing

Highlights

  • Pro

Block or report Lorre-Ramon

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Lorre-Ramon/README.md

Hi 👋, I'm Boxuan (Eames) Shi

A Graduate Student @CMU Heinz (Master of Information System Management - Business Intelligence and Data Analytic `26) seeking ones way to become a data scientist or a business analyst.

  • 📫 How to reach me eames_shi@icloud.com

  • ⚡ Interests: Classical music | F1 | History | Lego | Table Tennis | Tennis

Connect with me:

施博轩

Data Science Portfolio:

🖼️ 1. ESGImg — Image & ESG Correlation

ESGImg Repo

Description: Analyze how images in ESG reports relate to ESG scores via vision-language models and multimodal AI (e.g. OpenAI CLIP, OpenAI GPT4-vision).

Tech Stack: Python, PyTorch, CLIP, pandas, NumPy

Data Science Skills Involved: Computer Vision, NLP (text embeddings), Feature Engineering, Casual Inference, ETL Pipeline

🎬 2. Netflix Customer Churn

Netflix Churn Repo

Description: Build a predictive model to forecast customer churn for Netflix using user behavior and subscription data.

Tech Stack: Python, scikit-learn, pandas, matplotlib, seaborn

Data Science Skills Involved: Exploratory Data Analysis, Machine Learning

Popular repositories Loading

  1. ESGImg ESGImg Public

    The repo of ESG image research. Utilizing SOTA method to quantify the impact of images.

    Python

  2. Lorre-Ramon Lorre-Ramon Public

  3. Netflix-Customer-Churn Netflix-Customer-Churn Public

    The project conducts an EDA and machine learning prediction on Netflix customer churn, providing insights into what drives customer churn and actionable recommendations for retention strategies.

    Jupyter Notebook