Helping companies across various industries become more competitive and achieve their results using Data, Analytics and AI.

Building and leading a team of data engineers and data analysts has given me the opportunity to:• Collaborate in the definition and development of the data stack• Plan and prioritize data analytics projects to support stakeholder needs across different areas and business objectives • Be the main point of contact between the Data team and the managers in the organization• Build a solid knowledge and understanding of a SaaS business modelAdditionally, I have gained experience in:• SQL, BigQuery and dbt for data modeling and analysis• The definition, development, visualization and analysis of KPIs and metrics that assist other teams in measuring the success of their initiatives• The development of tools that enable the democratization of the data within the company

• Development of a system that ingests and integrates worldwide events from a variety of sources to evaluate their impact in the travel industry• Time series forecasting to predict airline passenger demand using both classical (regression and exponential smoothing) and more sophisticated (machine learning and deep learning) methods• Cleaning and exploratory analysis of external datasets to assess their value for current and potential new data products of the company• Member of the data governance board, taking responsibility for specific datasets (data owner)• Experience with AWS

• Experience with object oriented programming in Python• Writing code for automated data gathering through web scraping. Integration with data from web APIs• Collaboration in the definition of data models for Google Cloud Datastore (NoSQL database)• Experience with Google Cloud• Implementation of unit tests for building testable and clean code

Application of numerous techniques to extract insights from neuroimaging data:• Computer vision• Machine learning• Graph analytics• Time series analysis• Statistical and mathematical modeling

Mathematical modeling of Alzheimer’s disease: identification of biomarkers for early diagnosis based on magnetic resonance imaging, machine learning and graph analytics.

Application of graph analytics to analyze brain imaging data.

Design and implementation of algorithms for a computer-aided diagnosis system of spine-related disorders based on computed tomography imaging and computer vision.