Data analyst / scientist oriented to business, markets, health care and information technology. Developer and project manager that includes extraction, transformation, algorithmic modeling and complex data visualization with logical methods of artificial intelligence and Big Data. With strong sense of time limits and high-pressure tolerance. With practical and theoretical knowledge in the fields of entrepreneurship and development of ongoing projects. Prepared to take risks and tasks based on prediction analysis, which allow to inform paths and contextual trends of complex systems.
Algorithms for Big Data - Prediction - Project Management - Financial Analysis - Strategic Planning - Inferential Statistical Analysis (Ho + Ha) - Machine Learning (IA) - Market Analysis - Optimization Analysis - Data Mining (Scraping, API) - ETL - Statistical Mathematical Models (linear and non-linear) - Adoption Curve Analysis - Business Development - Social Network Sentiment Analysis - Automatic Digital Marketing - Creation of Dashboards for Advanced Visualization (Business Intelligence) - Time Series (Advanced Forecasts) - Georeferenced Analysis - Parallel Computing (Cloud Computing) - Map Reduce (in-memory) - Segmentation (clustering: unsupervised learning) - SQL (BigQuery, Server, PostgreSQL) - Power Query M Language + DAX (Data Analysis Expressions) - Deep Learning.
