CV - Education

Education

2020	College of Computing Technology (CCT), Ireland Diploma in Predictive Data Analytics Project: Evaluating the Performance of Lexicon-based and Machine Learning Sentiment Analysis for Amazon reviews classification.
2020	College of Computing Technology (CCT), Ireland Bachelor of Science (BSc) (Honours) in Information Technology Final year project: Developing a Web Dashboard for analyzing Amazon's Laptop sales data. To know more about this project, visit Developing a Web Dashboard for analyzing Amazon's Laptop sales data In my final Bachelor (Honours) in IT I worked in Sentiment Analysis using Python. I specifically developed a Web Dashboard for analyzing Amazon's Laptop sales data, mainly to perform a Sentiment Analysis on Amazon customer reviews. I have performed a Sentiment Analysis of Amazon customer reviews by using both, Lexicon-based and Machine Learning methods. Lexicon-based Sentiment Analysis: One of the purposes of this study is to evaluate different Sentiment Analysis approaches. That is why I performed a Lexicon-based Sentiment Analysis using two popular Python libraries: Textblob and Vader Sentiment. Machine Learning Sentiment Analysis: I have built a ML classifier for Sentiment Analysis using the Naive Bayes algorithm and an Amazon review dataset from Wang et al. (2010).It is important to notice that this is an extra result with respect to the initial objectives. I haven’t planned to carry out this studio. However, I realized that it was very beneficial to include another Sentiment Analysis approach. This has allowed me to evaluate and compare both approaches in terms of their performance. In addition, a Word Emotion Association Analysis has been also performed. This analysis complements the polarity analysis by adding more details about the kind of emotions or sentiments (joy, anger, disgust, etc.) in customer reviews. This analysis was performed by using the NRC Word-Emotion Association Lexicon.
2019	College of Computing Technology (CCT), Ireland Bachelor of Science (BSc) in Information Technology Final year project: Supervised Machine Learning Models for Fake News Detection. To know more about this project, visit Supervised_Machine_Learning_for_Fake_News_Detection In my final Bachelor in IT project, I worked in Text classification, specifically in Supervised Machine Learning for Fake News Detection using R. In this project, we have created a Supervised Machine Learning Model for Fake News Detection based on three different algorithms: Naive Bayes, Support Vector Machine, and Gradient Boosting (XGBoost). Basically, this ML model is able to determine with an accuracy of 79% if a News Article is Fake or Reliable. Fake in the sense of News Articles that were deliberately created in order to deceive and manipulate.
2014	Claude Bernard Lyon 1 University, France Master – Complementary computer studies Specialty: Distributed information systems and networks. Final year study project: Design and Administration of a Wiki Web Application. I have always had a strong interest in Computer Sciences. In fact, when I start my studies in the university, I had to choose between Computer Sciences and Geophysics. During my studies in geophysics, I took courses in Fortran and C programming, and in Linux System Administration... and I had to program many times in Matlab (for example)... and thus I acquired computer skills. The master's programme included courses of: Algorithms and Programming. I took courses in C programming, java and SQL We also received a training in database management Linux systems administration Networks administration. Those are the areas I really appreciated, and in these areas is that I have my best computer skills, but there were other courses of course, like: VRML: Virtual Reality Modeling Language is a standard file format for representing 3-dimensional (3D) interactive vector graphics, XML: Extensible Markup Language is a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. PHP programming Yes, they were basic courses because it was a one year master... and it was a master oriented to not computer professionals. But even if we were not computer professionals we had all computer skill. Because it was a requirement to enroll in that master. So the the courses had a good level I think so. No existe traducción en francés Algoritmo y programación (C, Java, VRML) Base de Datos: SQL Administración de sistemas operativos: Linux Redes VRML XML
2011	Simón Bolívar University, Venezuela MSc in Earth sciences Specialty: Applied Petroleum Geoscience. Master thesis project (Excellence Honor Mention): Study of Pull up/Push down effects through seismic modelling, colombian plains. I got a master's degree in Petroleum geosciences. I dit this master because I wanted to focuses in oil exploration... During this master, I took modules related to the oil exploration process. I deepen my knowledge in areas such as: Seismic processing and modeling Petrophysics Seismic réservoir characterization And I received a training in: Petroleum System Analysis Petroleum geology These studies gave me the knowledge to understand how the oil industry works These studies gave me an overview of how the oil industry works. No existe traducción en francés Métodos avanzados de interpretación sísmica: Petrofísica: Tectónica de Placas: Descripción sísmica de yacimientos: Análisis de sistemas petroleros: Geointegración petrolera: My master thesis at CGGVeritas Creo que hoy en día la geofísica de exploración y producción debe enfocarse en pequeños detalles. Esto porque la exploración de hidrocarburos ya no requiere de un campo gigante para ser economicamente rentable, actualmente pequeñas acumulaciones pueden dar lugar a importantes beneficios para las compañías, pero para ello es indispensable ser detallista en los diversos pasos de exploración y producción. Por ejemplo, el campo de estudio de mi trabajo de maestría estaba compuesto por pequeñas acumulaciones; y en mi trabajo se trata un problema relacionado a la deformación de los reflectores a causa de variaciones laterales de velocidad, el trabajo concluye que estos problemas, podrían ser vitales para una apropiada cuantificación de las reservas. Les vitesses de propagation des ondes sismiques No existe traducción en Inglés Les vitesses de propagation des ondes sismiques.
2007	Simón Bolívar University, Venezuela Geophysical Engineer Bachelor thesis project: Basic modelling of pre-stacked seismic data and its corresponding processing sequence, using Seismic Unix package. Geophysics is a discipline that uses different areas of knowledge, such as physics, mathematics, and geology to study the internal constitution and history of the Earth. The Geophysical engineering career at Simón Bolívar University is based on: A training in seismic exploration methods (acquisition, processing, inversion, and interpretation) and its direct application to the oil industry. The program also includes a basic training in gravimetric, magnetic and electrical exploration methods Some courses in geology. But the career is oriented towards oil exploration because Venezuela is an oil-producing country. La Ingeniería Geofísica aplica distintas áreas del conocimiento tales como la Física, las Matemáticas y la Geología, al estudio de la constitución interna e historia de la Tierra. La formación del Ingeniero Geofísico en la Universidad Simón Bolívar se cimenta en: Una preparación en métodos de exploración sísmica (adquisición, procesamiento, inversión e interpretación) y sus aplicaciones directas a la industria petrolera. Una preparación básica en métodos de exploración gravimétrica, magnética, y eléctrica Una cadena de cursos en Geología que sirven al futuro ingeniero en sus labores de interprete y geointegrador. Ejemplos de aplicaciones de la Ingeniería Geofísica: En la exploración petrolera, los métodos de prospección sísmica permiten detectar las trampas que sirven de receptáculos a los hidrocarburos a profundidades que por otras vías sería imposible determinar. En la exploración minera los métodos gravimétricos y magnéticos permiten la evaluación del suelo y del subsuelo con el fin de ubicar y/o descubrir, ampliar y redefinir yacimientos minerales que no son visibles en superficie, además de que por estas mismas vías es posible establecer zonas de recursos minerales económicamente explotables. En la Ingeniería Civil la Geofísica permite estudiar las condiciones del subsuelo para el emplazamiento de obras de envergadura (presas, viaductos, edificios, carreteras etc.) y en la Agronomía permite definir posibles acuíferos utilizables ya sea para riego o para consumo humano. No existe traducción en francés