I developed models for: prediction of the price of properties, recommender systems, statistical reports and data analysis. I used machine learning, deep learning and statistical tools, using as input for the models the historical data of advertisements published in the web page, and the interaction of users with the web platform. I developed software in Python and I deployed the models using Google Cloud tools.
I was part of the project of optimization of energetic resources, developing mixed linear programming models and stochastic dynamical programming models. I also designed a model for prediction of demand of electric energy in Argentina. I used machine learning, combinatorial optimization and statistical tools. I developed software in Python, Fortran and VisualBasic. I used as input the historical data of electric production and demand, as well as external meteorological and economical features that had latent predictive qualities for this problem.