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Yuwei(Darcie) Ding

Melton Fellow πŸ‡ΊπŸ‡³

Data Analyst πŸ’»

A bit about me

Hey there! πŸ‘‹ I'm Yuwei (Darcie), I am a graduate student at Columbia University, pursuing a Master's degree in Business Analytics. I received my Bachelor's degree in Chemical Engineering from Zhejiang University. I am passionate about leveraging data-driven insights for strategic decision-making. As a Melton Fellow, I am dedicated to fostering global citizenship and driving meaningful change through collaborative projects. I am also interest in boxing and maintaining an active fitness lifestyle.

Skills

language

Mandarin (Native)
English

programming

C
VBA
HTML
Markdown
LaTeX

others

Excel
PowerPoint
Photoshop
Adobe Premiere Pro
COMSOL
AutoCAD

dataAnalytics

Python
R
SQL
Pandas
NumPy
Matplotlib
Seaborn
Scikit-Learn
XGBoost
Machine Learning
TensorFlow
PyTorch
Tableau
Power BI
Time Series Analysis
A/B Testing

financial

Derivative Pricing
Greeks Hedging
Monte Carlo Simulation
Black-Scholes Model
Risk Management
Markowitz
CAPM
Fixed Income Securities
Quantitative Trading Strategies

Experience

Education

Columbia University2024 - 2025

Master of Science - Business Analytics

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Zhejiang University2020 - 2024

Bachelor of Engineering - Chemical Engineering

Zhejiang University Logo

Projects

Spotify Popularity Index Prediction

Built a machine learning pipeline integrating data scraping, audio embeddings, and neural networks to predict Spotify popularity with a 10x accuracy improvement, while also uncovering lyrical trends via genre and sentiment analysis.

Spotify Popularity Index Prediction

Personal Website Building

`my-personal-website` is my own corner of the internet, built with Next.js and Tailwind CSS. It highlights my background, projects, and interests in a clean, modern layout, and it's easily accessible via GitHub Pages. This project is a fun way for me to showcase my work, experiment with new web technologies, and invite others to learn a bit more about who I am and what I do.

Visualization of Global COVID-19 Vaccination

Developed a data pipeline that analyzed global COVID-19 vaccination trends and GDP correlations using Python, culminating in an interactive Tableau dashboard for exploring daily, total, and full vaccination metrics across countries and continents.

Visualization of Global COVID-19 Vaccination

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