Internal consulting, transversal support and leadership of different projects in the area of data science. Development and deployment of solutions based on Machine Learning through Azure for the different clients of the company, among which are: payment prediction models, probability of resignation, customer preference channels, text mining, among others. Evolution of the most important product of data science in the

Develop payment prediction models, scoring models and application of statistical segmentation methods using R and Python languages using techniques such as: linear regression, logistic regression, decision trees, neural networks, linear programming and statistical simulation in order to support purchase decisions and portfolio management of non-performing loans. Monitoring of the results and the impact of the models des

I carried out processes of extraction, transformation and loading of structured data in Oracle PL-SQL Databases for data modeling and generation of valuable reports for decision making by the commercial vice-presidency of the ETB company through Power BI. I implemented clustering techniques, time series, probabilistic and Machine Learning models in order to make projections regarding recurring income