Analyzed and summarized key metrics for school districts and individual schools.  Identified top-performing and lowest-performing schools based on standardized test scores.  Examined math and reading scores across different grade levels.  Segmented school performance by spending, size, and type categories.  Provided insights and recommendations for strategic educational decisions.

 Identified performance trends based on budget, school size, and type.  Offered data-driven recommendations for improving educational outcomes.

 Demonstrated strong data manipulation and analysis skills relevant to educational planning and decision-making.  Highlighted the value of data-driven insights in improving school performance and resource allocation.

 Implementing conditional logic and filtering to extract specific subsets of data.  Merging/joining datasets from different sources while maintaining data integrity.

 Terminal  Jupyter lab  Anaconda  pandas