o Analyzed the electricity consumption patterns in London by applying a clustering methodologyo Implemented and evaluated a new methodology for TEM images analysis with the UNSW Sydneyo Assessed a feature selection on forecasting Spatio-temporal data for solar irradianceo Evaluated the Transformer architecture of time series forecasting in electricity consumption datao Improved the breast cancer prediction by applying deep learning techniqueso Taught the subjects of Programming Fundamentals, Operating Systems, and Design and Testing, for three years in the Software Engineering Degree

During this period I achieved my PhD in computer science by working with unsupervised machine learning techniques in Big Data. The most used technologies were Apache Spark in Scala, and using MLlib and ML as machine learning libraries; I have also worked in Python by using scikit-learn for the machine learning algorithms and Matplotlib and Seaborn for the representation. Moreover, I have also experienced working in different cloud services such as Amazon Web Services (AWS) and Microsoft Azure.o Developed a new methodology for microscopy images analysis by applying clustering techniques (Python, scikit-learn, seaborn)o Designed a novel external clustering validity index based on chi-square which enhanced the quality of the clusters taking into account the classes of the data (Scala, Spark, Spark Mllib, Spark ML)o Designed and implemented two innovative clustering validity indices for Big Data in Spark that improved the ratio of hits by 16% on indices from the literature (Scala, Spark, Spark Mllib, Spark ML, Amazon Web Services AWS, Microsoft Azure)o Analyzed Big Data electrical load-curves saving invoice cost to 100,000+ users (Scala, Spark, Spark Mllib, Amazon Web Services AWS)o Analyzed +5 million job placements to disconver the evolution of the Spanish labour market through unsupervised learning by applying Big Data technologies (Scala, Spark, Spark Mllib, Amazon Web Services AWS)o Improved the quality of breast cancer data to make more visible the detection of a possible recurrence in patients by applying deep learning techniques (Autoencoder, Deep Learning)o Publicized 10+ works in leading journals and national conferenceso Trained as a lecturer in the BSc Software Engineering

o Co-founded the companyo Orchestrated +5 web projects by using the Laravel PHP frameworko Launched two new startupso Designed and built the bases of the company in the cloudo Trained 5+ new employees in Scrum methodology

o Created +5 web applications to modernize business processes and reduce executing time by +40% (PHP, HTML, CSS, Java Script)o Introduced and deployed Moodle platforms to boost 100+ online courseso Managed IT department with 50+ stations

o Trained +100 unemployed students in advanced MS Office in State courses

o Managed +30 virtualization system with VMWareo Redesigned backup system for 50+ serverso Involved in the configuration of Moodle platforms

o Carried out TI tasks for +50 employees