As a data scientist with nearly a decade of experience, I've honed my skills in analyzing complex datasets, creating impactful visualizations, and crafting compelling data narratives. My journey has taken me from optimizing safety stock at CVS to automating critical reports for Q-Centrix, always with an eye on delivering tangible business value.

I'm passionate about leveraging Python, SQL, and machine learning techniques to solve real-world problems. Whether it's predicting rainfall patterns in North Carolina or analyzing sentiment on Reddit, I thrive on transforming raw data into actionable insights. My background as an educator has sharpened my ability to communicate technical concepts clearly, a skill I've found invaluable when collaborating with cross-functional teams. From developing time-series models to crafting custom VS Code extensions, I'm always eager to expand my toolkit and tackle new challenges, including contributing to open-source tools like python-semantic-release.

This portfolio showcases a selection of my professional and personal projects, demonstrating my versatility across industries and technologies. I invite you to explore my work and see how I can bring value to your data science initiatives.

• VSCode-Chroma-Workspace-Extension - Enhance your development workflow with this local-first VS Code extension featuring intelligent note-taking, Kanban boards, and integrated task scheduling.
• Chroma-Parse-Notes - Experience a comprehensive project management tool that combines rich-text notes with natural language highlighting and visual Kanban boards.
• Audio Digest Hub - Turn your email newsletters into personalized audiobooks on the go using this intelligent system powered by AI text-to-speech technology.
• Baby Cam App - Monitor your little one with this React and Supabase-powered baby camera application designed for peace of mind.
• Notes NLH - Streamline your note-taking within VS Code using this extension for simple syntax highlighting, TODO lists, and easy cross-linking.

• LinkedIn Post Automation Multi-Agent - Automate your professional presence with this multi-agent AI pipeline that researches, drafts, and designs engaging LinkedIn content.
• Trading - Explore algorithmic trading strategies for EURUSD using reinforcement learning, genetic algorithms, and MetaTrader integration.
• NC Rainfall Predictions - Discover insights into future climate patterns with this time-series analysis predicting North Carolina rainfall for the next 50 years.
• City Health Scores - Dive into urban health metrics with this comprehensive analysis of city data to evaluate and visualize community well-being.
• Reddit Sentiment Analysis - Investigate the link between social media buzz and stock prices through this analysis of over one million Reddit posts using Python and R.
• Springboard Projects - Explore a diverse collection of data science work ranging from statistical analysis to machine learning, completed during an intensive bootcamp.

• python-semantic-release: Contributed to the automated version management and package release tool for Python.