Agrilinks

I am an Economist turned into a Data scientist with a combined 10+ years of experience leveraging Statistical Modeling, Data Processing, Data Mining, and Economic Problem identification to find scientific solutions to decision-making problems. The evolving dynamism and complexity of the world demand high-level abstraction, in which Machine Learning and Deep Learning algorithms are becoming central tools to solve challenging business problems. I am comfortable working on predictive models, machine learning algorithms on different domains, and time series models. My research has focused on the application of behavioral and experimental economics approaches to problems related to environmental and economic decision making.