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Josue Fernandez Canela

Pre-MBA Education

University of Georgia
Doctor of Philosophy in Plant Biology

Universidad Autónoma de Santo Domingo
Bachelor of Science in Biology

Pre-MBA Experience

Developed reproducible data pipelines and ETL processes to transform complex biological datasets and international trade records into actionable intelligence.

Functional Interest(s)

Supply Chain Analytics, Data Analytics, Business Intelligence, Analytics Engineering

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Howdy! My name is Josue Fernandez Canela. I am a researcher turned data analyst with a passion for learning and problem-solving.

My foundation was built in the high-stakes, iterative world of computational biology. During my PhD at the University of Georgia, I navigated the complexities of large-scale genomic datasets. Analyzing millions of DNA sequences required more than just technical proficiency; it demanded a meticulous approach to data integrity, advanced statistical modeling, and the ability to manage multi-year projects. Beyond the computer, I led cross-functional efforts and mentored junior researchers, learning that even the most sophisticated model is only valuable if it can be communicated clearly to a diverse audience.

I eventually realized that my greatest professional satisfaction came from data analysis—the moment when noise becomes a pattern. This realization drove my transition into the field of analytics. Currently, as an MS in Analytics candidate at Texas A&M University, I am building a modern technical toolkit to deliver data-driven results for businesses.

I am currently consulting for a regional importer in Puerto Rico. In this role, I transform complex trade and customs data into a strategic asset. By identifying emerging supplier trends and analyzing global trade flows, I help the company navigate supply chain complexities and drive aggressive catalog diversification.

I thrive at the intersection of complex systems and business growth and am eager to help organizations leverage their data to make smarter, faster, and more resilient decisions.

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