New analytical solutions based on:NLP (Natural Language Processing) algorithms, providing sentiment analysis, topic discovery and topic classification.Deep Learning algorithms to extract and classify arousal in speech audios when people are being interviewed.Development of Shiny web applications with more than a hundred users.Administration of servers from scracth, setting up all needed components.

Mathematical models focused on prediction and optimization:Econometric models, linear and logistic regression, loglinear models, SVM, neural networks, decision trees, random forests, ARIMA models, clustering, segmentation, asociation rules and heuristic optimization algorithms.Data analysis from multiple sources: Big Data platforms (Cloudera), geospatial, web pages (scraping), relational databases and flat files.Shiny developer of big web tools with dozens of concurrent users.Automatization of recurrent analysis ensuring reproducibility, from data extraction to results presentation through automatic reports and shiny web tools.Exploratory data analysis of large amount of features, regarding visualization and summarising the information to provide business oriented insights.Teaching assistant to new employees through DataCamp.Experience in tidyverse ecosystem (dplyr, ggplot), Rmarkdown, highcharts and Shiny.

Datawarehouses load and optimization of ETL processes with Unix, PLSQL and Business Objects.Data extraction for Reporting and optimization processes.Development and implementation on a Big Data environment with HIVE and sqoop.Pilot projects investigation and technical support for data visualization tools, like QlikView and PowerPivot.

Software analysis, design and development with COBOL, CICS and DB2.Troubleshooting, identifying and solving software issues.DB design, resource optimization, analysis and reporting

Mathematics private teacher to a broad range of levels: from high school to many university degrees