Professor
Applied Statistical Analysis for Industry
In a business environment saturated with information, the primary challenge was to train future managers to transform raw data into actionable business intelligence. I led the design and execution of the Probability and Statistics I program, where I streamlined the transfer of technical knowledge toward practical applications in the economic field. My intervention focused on developing critical competencies, ranging from the structuring of statistical research and data collection instrument design to the mastery of advanced probability models ($Binomial$, $Normal$, and $Poisson$) and measures of variability.To ensure academic excellence, I implemented a continuous evaluation system based on real-world case studies and complex problem-solving. This approach ensured that students not only mastered the mathematics but also learned to interpret data symmetry and behavior for strategic decision-making. The result was a comprehensive academic success rate, with 100% of the evaluation tied to practical application, culminating in final reports that met professional quality standards and statistical rigor.