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.
- 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
- 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.
- The Goal: TBD
- The Tech: TBD
- The Result: [e.g., Reduced manual review time by 70%.]
- LinkedIn: linkedin.com/in/kathleen-hill322
- Portfolio: khilldata.com
- Email: [kathleen.hill322@outlook.com]