🎓 MS in Applied Data Science, University of Chicago
🎓 BS in Statistics & Business Economics, UCLA

Focus: Data Science | AI | Business & Strategy

I build data-driven solutions with a focus on machine learning, analytics, and real-world applications. 💡

• Machine Learning: model development, evaluation, and optimization
• Data Analysis: extracting insights from structured and unstructured data
• Applied AI: exploring practical use cases of LLMs and data products
• End-to-End Workflows: from data processing to model deployment-ready pipelines

Languages: Python, SQL, R, C++
Data & ML: Numpy, Pandas, Scikit-learn, TensorFlow, PySpark, PyTorch, Keras
Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly
Machine Learning: Regression, Classification, Clustering, Time Series Forecasting
AI & Advanced Topics: Generative AI, NLP, Computer Vision, LLM Applications
Analytics & Marketing: Predictive Analytics, Churn Prediction, Customer Segmentation, Market Basket & Share Analysis, Price Elasticity

• Applying LLMs in business and analytics workflows
• Bridging data science with consulting-style problem solving
• Building end-to-end data products

• LinkedIn: www.linkedin.com/in/nicoleyueshen
• Email: [email protected]

Always open to collaboration and opportunities in Data Science, AI, and Consulting.