Juan Lara

Conduct advanced research in organizational economics with Professor Jorge Tamayo, focusing on two key areas:

• Computational Implementation — Translated theoretical concepts into actionable insights by developing ML models (XGBoost, clustering), implementing NLP pipelines for technical document analysis, and building modular data architectures that integrate statistical analysis with visualization techniques (UMAP, SVD).
• Theoretical Modeling — Formalized organizational hierarchies and resource optimization through economic frameworks based on established literature (Garicano, Caliendo & Rossi-Hansberg), creating rigorous mathematical proofs to analyze policy impacts on productivity.

Transformed market research operations through strategic data science implementations:

• Field Operations Innovation — Developed a mobile R Shiny application with embedded machine learning models for pharmacy segmentation, integrating geospatial mapping (Leaflet) with cloud storage, resulting in 85% reduction in manual classification work.
• NLP-Powered Analytics — Created TextInsight, a comprehensive Python library using transformer models (BERT) and network visualization (NetworkX) for multilingual survey analysis, reducing processing time by 60% while delivering more nuanced insights.
• Interactive Reporting — Designed dynamic dashboards and visualization tools that streamlined decision-making processes across Latin American operations, earning recognition as Total Ops Star Employee for LATAM.