Statistics Engineering: How an ESPOL student turned internships into a job opportunity

Aarón Josué Calderón, estudiante de Ingeniería en Estadística de la ESPOL, durante su experiencia profesional en el sector financiero.

Data analysis, information interpretation, and strategic decision-making are part of the daily routine of Aarón Josué Calderón Espinoza, a final-semester student of Statistics Engineering at the Faculty of Natural Sciences and Mathematics at ESPOL. He completed his internships and industry placements at Grupo Unicomer Ecuador, within the Business Financial Risk area.

During this experience, he participated in processes related to credit risk analysis, portfolio monitoring, and customer profile evaluation. He also contributed to the development of dashboards and executive reports that support decision-making in the financial and commercial areas.

One of the projects that defined his experience was the development of a classification model aimed at identifying customer profiles and rules associated with credit risk, applying knowledge acquired in courses such as Applied Statistical Models, Statistical Learning, and Data Engineering.

For Aarón, one of the most rewarding aspects was discovering how statistical analysis can create real impact within a company. “In the financial sector, small variations in risk or customer behavior can represent major changes for the company,” he said.

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Estudiante de Ingeniería en Estadística de la ESPOL comparte su experiencia profesional en análisis de datos y riesgo crediticio.

Likewise, he highlights that this stage not only strengthened his technical skills but also competencies such as communication, teamwork, and organization. “Thanks to God, it has been a very valuable experience where I have been able to grow both professionally and personally,” he shares.

The commitment and performance demonstrated during his internships and industry placements later opened the opportunity for him to join Grupo Unicomer Ecuador as a permanent team member, where he currently continues developing his professional career.

Stories like this reflect how the Faculty of Natural Sciences and Mathematics at ESPOL promotes academic excellence and transforms knowledge into solutions, training professionals capable of responding to real industry needs through analysis, innovation, and data-driven decision-making.

Are you interested in transforming data into strategic decisions and generating solutions for real organizational challenges? The Statistics Engineering program at ESPOL provides solid training in data analysis, statistical modeling, data science, and evidence-based decision-making. Learn more about its curriculum, opportunities, and career paths here: Statistics Engineering ESPOL.