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analytics-pipeline

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this project offers a simple dashboard to analyze server logs, identify top IP contributors, and detect peak traffic hours. It helps businesses monitor server health, detect anomalies, and optimize resource planning through quick, data-driven insights.

  • Updated Apr 28, 2025
  • Python

Full-stack pipeline to detect U.S. housing market bubbles and forecast price trends. Merges 6+ macroeconomic datasets in Snowflake to compute risk scores and price predictions using walk-forward ML models. Deployed with Streamlit for interactive insights.

  • Updated Apr 28, 2025
  • Python

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