
During May 2025, Ishan Bhosekar developed end-to-end data capabilities for climate and economic analytics within the Prof-Drake-UMD/INST767-Sp25 repository. He engineered a data pipeline that ingests weather, air quality, and World Bank data via API integration, transforms and categorizes the data, and loads it into BigQuery, orchestrated with Airflow and Google Cloud Pub/Sub. Ishan enhanced analytics by optimizing SQL queries to identify top cities by GDP growth with clean air, improving both performance and clarity. He also reorganized repository assets and cleaned up code structure, resulting in improved maintainability, faster onboarding, and more reliable analytics for business decision-making.

Month 2025-05: Delivered end-to-end data capabilities for climate and economic analytics, improved top-city insights, and cleaned repository structure to boost maintainability and onboarding. Business impact centers on faster, more reliable analytics and clearer data signals for decision-making.
Month 2025-05: Delivered end-to-end data capabilities for climate and economic analytics, improved top-city insights, and cleaned repository structure to boost maintainability and onboarding. Business impact centers on faster, more reliable analytics and clearer data signals for decision-making.
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