Cordoba, Argentina Metropolitan Area
I build econometric and machine learning models that turn commercial data into better pricing and revenue decisions. At Coca-Cola Andina I design and optimize promotional investment strategies across 90,000+ customers — combining incrementality analysis and Python automation to allocate budgets more effectively across channels and client segments. Previously conducted applied economics research for local government using complexity theory and input-output analysis. Currently completing an MSc in Econometrics at Di Tella, building on a background in Economics (UNC) and Data Science.
Own the design and optimization of personalized promotional strategies, directly influencing revenue growth and investment efficiency at national scale. -Design personalized promotions at client × product level, covering 90,000+ customers across 13 provinces. -Develop and automate econometric and Python-based models to evaluate incremental impact, ROI, and efficiency of promotional investments. -Design and evaluate targeted promotional actions addressing concrete commercial challenges, including assortment expansion within defined customer groups and volume growth across priority categories. -Define and optimize the data-driven strategy for allocating commercial assets, one of the company’s largest capital investments, to maximize return and long-term commercial impact. -Present data-driven recommendations directly to commercial leadership, shaping commercial strategy through impact evaluation and decision support.
Developed and implemented analytical tools and KPIs by integrating internal and external data to support commercial and marketing teams. -Designed and maintained analytical dashboards for daily performance tracking and strategic analysis. -Built Python-based analytical models and indicators to support price segmentation and identify province-level opportunities related to consumption sustainability. -Supported data quality and accessibility through SQL-based data extraction and transformation.
Build reports and presentations for internal and external stakeholders. Conduct applied research focused on the economic and social development of the city and province of Córdoba. Perform impact measurements using input-output matrix analysis to assess economic effects. Identify potential clusters and evaluating the opportunity to develop them as economic drivers. Applied research about productive opportunities using the Economic Complexity theory of Hidalgo and Hausmann. Automate data collection through web scraping to gather relevant information efficiently. Collaborate with local government institutions to gather and analyze relevant data.
Analyze and prepare data from various departments within the Municipality of Córdoba. Create dashboards and design surveys to support data collection and analysis. Develop interactive dashboards with territorial information to aid decision-making.