Agustín Demarchi

Conceptualized and built predictive analytics models for diverse business verticals, implementing machine learning applications with a focus on Gradient boosting algorithms, Deep Neural Networks and LLMs. Designed and deployed end-to-end ML workflows from data collection, model building, validation, deployment, and monitoring. Interfaced between technical and non-technical teams to translate comple

Designed and implemented data-driven game economics systems utilizing statistical simulations, mathematical formulas, and tokenomics architecture. Coordinated with developers and artists to implement the planned economy design.

Led development of advanced ML models for user segmentation, lifetime value prediction, and A/B testing frameworks. Designed and implemented NLP algorithms to enhance marketing campaign effectiveness.

Executed numerous projects of diverse nature, developing predictive models for flight demand forecasting, pricing optimization, and personalized recommendations. Sanitized graph database systems through network analysis and enhanced recommendation algorithms.

Analyzed fraud behavior patterns through data mining techniques to enhance fraud detection capabilities on customer banking operations over 20 million users. Implemented pattern detection algorithms to increase fraud detection coverage and reduced false fraud alerts using data mining techniques.

Completed a Master of Science degree specializing in Data Mining and Knowledge Discovery. Focused on advanced techniques for extracting insights from complex datasets, including statistical modeling and machine learning.

Earned a Bachelor of Science degree in Economics. Studied core economic principles, quantitative methods, and their application to real-world problems.