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Hi there 👋

I'm Eric Yang, a curious data adventurer with a background in economics. I specialize in the area where data science intersects with econometrics, I focus on predictive analytics, pattern recognition, and deriving actionable insights from structured data. I also enjoy searching, extracting, and shaping datasets to be utilized in analytics and machine learning applications.

🔨 Technologies I Use

Type Tools
Languages Python RStudio SQL
Backend Google Cloud MySQL Airflow Prefect
Design Figma
DevOps GitHub Visual Studio Code Docker
Machine Learning & Data Science Pandas NumPy MatplotlibSciPy scikit-learn mlflow streamlit Plotly Metabase

Top Langs

Eric Yang's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

bcg-churn icon bcg-churn

Repository for an interactive dashboard that predicts PowerCo's customer churn. Utilizing Streamlit and Plotly, it offers insights on churn metrics, customer risk categories, and associated revenue implications.

demo icon demo

A demo project using Evidence

dst icon dst

yet another custom data science template via cookiecutter

instant-property-prediction icon instant-property-prediction

This repository features an app that uses LightGBM machine learning to instantly evaluate real estate properties in Florianópolis, Brazil based on location, size, and other features, as well as proximity to risk areas, transportation, hospitals, markets, and green spaces. It also includes code and datasets for reproducing the analysis.

lightning-hydra-template icon lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

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