Skills

A concise overview of the tools and methods I use most often in analytics and machine learning work.

Programming

• Python: Pandas, NumPy, Matplotlib, PyTorch, Scikit-learn
• R: Tidyverse, ggplot2
• SQL: Snowflake, PostgreSQL
• C++

Machine Learning

• Regression, classification, clustering
• Decision trees, random forest, XGBoost
• Neural networks and deep learning
• NLP, embeddings, and LLM applications

Analytics & Visualization

• Exploratory data analysis
• Time series and network analysis
• Data visualization
• Dashboarding and insight communication

Tools

• Git and GitHub
• Docker
• VS Code and Cursor
• Excel and PowerPoint
• macOS and Linux
• English, Spanish, Mandarin Chinese