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kd365/README.md

Kathleen Hill

Data Scientist & Machine Learning Enthusiast

I specialize in leveraging data to solve real-world problems. My approach combines rigorous statistical analysis with scalable machine learning to deliver insights that drive decision-making.


Tech Stack & Tools

  • Languages: Python (Pandas, NumPy, Scikit-Learn, PyTorch/TensorFlow), SQL, R
  • Data Engineering: ETL Pipelines
  • Visualization: Tableau, PowerBI, Plotly, Seaborn
  • Deployment: Docker, AWS/GCP, Flask, Streamlit

Featured Projects

  • The Goal: Provide an interface through which a user can scrape SEC Filings and Earnings Transcripts, evaluate for performance and sentiment, track and predict stock performance, and evaluate company growth metrics, and incorporation of a conversational assistant.
  • The Tech: Amazon Comprehend, Amazon Lex V2, RDS PostgreSQL, EC2 + Gunicorn (Flask API), S3 + CloudFront (React), Lambda, VPC
  • The Result: Successful deployment of comprehensive website.

[TBD](link to repo)

  • The Goal: TBD
  • The Tech: TBD
  • The Result: [e.g., Reduced manual review time by 70%.]

GitHub Stats

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📫 Connect with Me

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