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  1. Analyzing-Crime-Data-in-Washington-DC Analyzing-Crime-Data-in-Washington-DC Public

    Data-driven analysis of ~300K Washington D.C. crime records using Python/R to uncover spatial hotspots, temporal trends, and actionable insights for improved resource allocation.

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  2. Multi-Domain-Infrastructure-Analysis Multi-Domain-Infrastructure-Analysis Public

    Multi-domain analysis integrating pavement, weather, and text data using Spark, MLlib, and NLP to predict infrastructure performance and detect anomalies.

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  3. EV-Adoption-Analysis EV-Adoption-Analysis Public

    Analysis of ~220K EV registrations using Python and ML to uncover adoption patterns, key predictors, and insights for EV policy and market growth.

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