DataQuest: Enhancing Educational Equity in Kazakhstan Through Data Analytics

DataQuest is a data-driven platform designed to collect and analyze school resources and student performance across Kazakhstan to identify under-resourced schools and at-risk students. By applying predictive analytics and visualization tools, the project aims to support targeted interventions that improve educational equity, particularly in rural areas. Success will be measured by improved academic outcomes, high model accuracy, and active user engagement, with a sustainable model for continued impact beyond the academic period.

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Kalniyaz Tumarym

Aspiring Developer and Designer · Almaty

DataQuest is a data-driven platform designed to collect and analyze school resources and student performance across Kazakhstan to identify under-resourced schools and at-risk students. By applying predictive analytics and visualization tools, the project aims to support targeted interventions that improve educational equity, particularly in rural areas. Success will be measured by improved academic outcomes, high model accuracy, and active user engagement, with a sustainable model for continued impact beyond the academic period.

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