Focused on using Python, SQL, and econometrics tools to solve sustainability challenges and drive strategic decisions.
I'm a data analyst and economist with expertise in Python, SQL, and econometric tools. My work focuses on addressing sustainability challenges and informing strategic decisions through data-driven insights.
I excel at communicating complex information clearly and effectively, transforming raw data into actionable intelligence that drives meaningful change.
This project uses machine learning to predict the operational status of water pumps in rural communities.
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This project aims to predict flu vaccination uptake (both H1N1 and seasonal flu) using data from the CDC 2009 H1N1 Flu Survey.
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Analyzed sales data 2015-2016 using Python and Pandas to gain insights into the trends and patterns of sales over time.
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Analysis of world energy consumption using Python and Pandas. Explore trends, patterns, and correlations between GDP and energy consumption.
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This paper examines the relationship between the export activities of firms in the manufacturing and service sector and the adoption of environmental actions in high- and low-income countries.
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An empirical evidence that substantiated the role of innovation as a determinant of firm growth.
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