Researcher and data scientist with a strong background in mathematics and computer science from the National University of Colombia. Currently collaborating on cutting-edge projects in organizational economics and corporate strategy at Harvard Business School, while leading digital transformation as a data scientist at Ipsos.My expertise encompasses:- Developing advanced mathematical models using game theory and dynamic optimization to analyze pricing strategies in two-sided markets and competition among multi-sided platforms.- Implementing large-scale numerical simulations in Python and C with parallel computing techniques to validate theoretical predictions in organizational economics.- Creating machine learning models (using TensorFlow, PyTorch, and Scikit-learn) for market segmentation and sentiment analysis, enhancing targeted marketing efficiency.- Designing scalable cloud-based data pipelines (GCP, AWS) for real-time processing of terabyte-scale datasets.- Applying advanced econometric methods to analyze the impact of organizational structures on business performance.My research at the intersection of AI, organizational economics, and corporate strategy allows me to bring a unique perspective to solving complex business challenges. I combine academic rigor with practical applications to develop innovative solutions in strategic decision-making and optimization of organizational structures.Open to research collaborations, data science consulting, and opportunities to apply advanced quantitative methods in addressing organizational and economic challenges.