• Designed and developed a Single-Agent and Multi-Agent Deep Reinforcement Learning based tool that controls Air Handling Units of a building in order to reduce its energy consumption.• 1-year professional experience which served as my EngD Data Science Graduation Project.

Engineering Doctorate Project: Design and development of a Natural Language Processing (NLP)-based Contracts Analytics Tool.• Developed an NLP-based web application prototype stored and deployed in Azure, which is able to distinguish ASML's and Suppliers' rights and the obligations within contracts (Text Classification), summarize obligation clauses (Summarization), retrieve key information from contracts (Information Retrieval), extract Intellectual Property (IP) clauses and identify… Show more Engineering Doctorate Project: Design and development of a Natural Language Processing (NLP)-based Contracts Analytics Tool.• Developed an NLP-based web application prototype stored and deployed in Azure, which is able to distinguish ASML's and Suppliers' rights and the obligations within contracts (Text Classification), summarize obligation clauses (Summarization), retrieve key information from contracts (Information Retrieval), extract Intellectual Property (IP) clauses and identify its changes (IP Clauses Identification).• The solution supported ASML's Procurement Department to automate the process of identifying and monitoring specific clauses and sections of interest such as payments, product warranties, and governing laws. The department saves time and mitigate risks by using this tool. Show less

Engineering Doctorate Project: Implementation of SarSentry Degradation Feature to WWF’s Forest Foresight Data Pipeline (FFP).• Developed and deployed six preprocessing functions onto AWS platform which enabled to collect and prepare several data sources that served as input features for the FFP's Machine Learning model used to predicted deforestation in Kalimantan, Indonesia.• Developed scripts which reclassified the SarSentry data source into both a binary and a scaled… Show more Engineering Doctorate Project: Implementation of SarSentry Degradation Feature to WWF’s Forest Foresight Data Pipeline (FFP).• Developed and deployed six preprocessing functions onto AWS platform which enabled to collect and prepare several data sources that served as input features for the FFP's Machine Learning model used to predicted deforestation in Kalimantan, Indonesia.• Developed scripts which reclassified the SarSentry data source into both a binary and a scaled degradation feature for the FFP.• Identified that a sampler function within the FFP was not robust enough to be used with new data sources such as SarSentry. Communicated that the next step to follow was to fix that function in order to achieve the goal of evaluating the impact of the SarSentry data source on the prediction of deforestation. Show less

Engineering Doctorate Project: Development of a Deep Reinforcement Learning (DRL) Method to Predict Vessels’ Paths.• Developed a method that obtained simulated vessels 'paths of baselines routes from the Port of Rotterdam using Deep Reinforcement Learning. • Created a clean and filtered grid which was used as the simulated environment for the DRL algorithm. • Evaluated the simulated paths using Dynamic Time Warping (DTW) scores and visual inspection.

• Monitored two data replication processes, Java Database Connectivity (JDBC) and Bulk Replication, using SQL and Oracle Data Integrator (ODI) as part of Oracle’s transition from On-premise ETL to Cloud.• Developed a python script that allowed tracking and analyzing OBIEE’s application usage behavior, avoiding overloading servers and identifying errors.

• Designed and taught the Introduction to Data Science elective course to Computer Science and Industrial Engineering undergraduate students during January-June 2021 semester.

Member of the Data Science and Applied Mathematics Research Group, involved in Scientometrics.• Published and presented the following research projects: - A Data Analytics Approach to Contrast the Performance of Teaching (only) and Research Professors published in the International Journal on Interactive Design and Manufacturing (IJIDeM), Springer.- Comparing Performance of Teaching-only and Research Professors [doc] published and presented at the Virtual Concept International… Show more Member of the Data Science and Applied Mathematics Research Group, involved in Scientometrics.• Published and presented the following research projects: - A Data Analytics Approach to Contrast the Performance of Teaching (only) and Research Professors published in the International Journal on Interactive Design and Manufacturing (IJIDeM), Springer.- Comparing Performance of Teaching-only and Research Professors [doc] published and presented at the Virtual Concept International Workshop: Innovation in Engineering and Sciences.- Comparing Researcher’s Teaching Performance with Full-Time Professors research presented at EduData Summit, Research Analytics Stream, organized by Quacquarelli Symonds (QS) in London, England. Show less