Carlos is a Computer Scientist and Computational biologist with a strong background in science, math, and statistics. He has 5+ years of experience in data science and artificial intelligence applied to viral genomics, marketing, medicine, education, and banking. He has 2+ years of experience in bioinformatics applied artificial intelligence development and bioinformatics tools. Carlos is interested in technological development, information understanding, entrepreneurship, science, and software initiatives. He is dedicated to providing artificial intelligence solutions to research and innovation teams to reach common goals.Hire Carlos
Analysis, organization, and integration of raw data sources. Built data systems, data models, and data pipelines. Worked with key client stakeholders to evaluate business needs and priorities.
Biological features classification, clustering, and dimensionality reduction on bacteriophage genomes datasets. Predicted biological relationships on metagenomic large volumes bacteriophages datasets from the construction of complex models based on graphs.
Made predictive analysis using regression models (Multiple regression, Lasso, and Ridge) from the company’s sales data. Development of Market Segmentation models of different target products of the company. Development of attribution models to better distribute the investment in the marketing area. Led and managed the new projects of the marketing analytics center from the creation of statistical and mathematical models and technical knowledge.
Strengthened capacities to generate and accelerate innovation and education processes in the health sector in collaboration with SIM DESIGN and Digital Medic Stanford University. Designed and developed the software component to make a virtual medical training platform distributed and collaborative.
Elaboration of forecast models of balances of the commercial banking portfolio of companies and government based on time series. Contributed to the adoption of agile methodologies to improve communication.