Nicolás Iglesias

I collaborate closely with marketing and analytics teams to optimize channel mix and evaluate campaign effectiveness across key performance metrics. I have also led several analytical projects assessing cross-channel dynamics and campaign optimization strategies, generating actionable insights for stakeholders and senior leadership.

Supervision and academic guidance of Master’s theses in Artificial Intelligence.

Evaluation of methodological rigor, machine learning models and experimental

design.

Providing feedback on modelling approaches, validation strategies and

interpretation of results.

Supervising and evaluating 10 MSc theses during the academic semester.

Built forecasting models in R and Python tailored to supply chain needs, boosting productivity and reducing planning uncertainty.

Exceptional communication and client-management skills, able to translate complex technical findings into clear, value-oriented recommendations.