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Psychohistory for Honey Bee Health is an open-source forecasting system that models the environmental and biological risk factors leading to colony collapse in honey bees. Inspired by Isaac Asimov’s concept of psychohistory, this project blends historical data, statistical modeling, and real-time sensor input to create predictive insights for beekeepers, researchers, and policymakers.
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Engineered a modern data pipeline for a dummy real estate firm, integrating Apache Airflow, dbt, and PostgreSQL in a Dockerized environment.
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