Data Science Portfolio

Hi, I'm Lane

I drive critical analytics and design practical data-driven solutions to improve business operations, growth, and profitability. This portfolio highlights techniques I've applied across key initiatives.

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Featured Work

Projects built for business impact

Each project includes the problem, approach, tools, and measurable result.

Conversational AI

Gambling Support AI Agent

Built a conversational agent that helps users find gambling addiction support resources and compose support request emails through a structured dialogue.

  • Tools: Python, Pydantic AI, OpenAI / Anthropic APIs, SMTP
  • Outcome: Created a production-ready support workflow for sensitive user assistance
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Social Media Analytics

Real-time Social Media Sentiment Dashboard

Interactive dashboard that collects recent tweets about any topic using Twitter API and analyzes sentiment trends with TextBlob, displaying real-time positive/negative sentiment scores.

  • Tools: Python, Tweepy, Streamlit, TextBlob, Plotly
  • Outcome: Live sentiment analysis with interactive visualizations and engagement metrics
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Skills

Technical and analytical toolkit

Data wrangling

ETL pipelines, cleaning, feature engineering

Machine learning

Classification, regression, clustering, model tuning, ensemble

Visualization

Amazon Quick, Mode, Tableau, Looker, Matplotlib, Plotly

Cloud & deployment

AWS, GCP, version control, containerized workflows

About me

Practical data science, focused on clarity and reliability.

I enjoy translating complex data into business recommendations and building reproducible analytics systems. My work blends quantitative modeling with strong communication so stakeholders can act confidently.

6+ Years working with data
75+ Projects delivered
$50MM+ Total value from automation and recommendations

Ready to collaborate?

Share your hiring goals and I'll show how data science can improve decision making, reduce risk, and increase operational efficiency.

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