

October 2025 monthly summary for Quant_RUC: Delivered an end-to-end real estate analytics pipeline for housing price and rent prediction, including data ingestion via web scraping, cleaning, feature engineering, sentiment analysis, and predictive modeling. The implementation includes a Jupyter notebook and Python scripts that export results to Excel, and a documentation scaffold to support onboarding and governance. The work establishes a repeatable data workflow, enabling faster, data-driven pricing decisions and a foundation for ongoing model refinement. No major defects were reported this month; issues were addressed promptly as part of delivering the feature set.
October 2025 monthly summary for Quant_RUC: Delivered an end-to-end real estate analytics pipeline for housing price and rent prediction, including data ingestion via web scraping, cleaning, feature engineering, sentiment analysis, and predictive modeling. The implementation includes a Jupyter notebook and Python scripts that export results to Excel, and a documentation scaffold to support onboarding and governance. The work establishes a repeatable data workflow, enabling faster, data-driven pricing decisions and a foundation for ongoing model refinement. No major defects were reported this month; issues were addressed promptly as part of delivering the feature set.
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