CV

Adelo Vieira - IT Professional Download a pdf version of my CV         My projects portfolio         My Github

47-A Phibsborough Rd, Dublin 7, IRELAND   +353 852 40 72 08   adeloaleman@gmail.com

Work experience

Present ↑ 2017	IDG Direct, Ireland Business Development Executive This is a pre-sales role. I represent IDG services by making professional outgoing calls to prospective clients. I have to establish and maintain a professional conversation with IT Managers to identify their needs and next investments. The gathered information is required from our clients (Largest Tech Companies) and used in the next step of the sales process. My responsibilities include: Lead Generations, Gathering client details and Maintaining/Updating IDG database with accurate client details. I work in different markets and contact clients in French, English and Spanish: France, Belgium, Luxembourg, Spain, Middle East and Africa. In this position, I have improved my communication skills in French and English. I have learned how to build and maintain a professional relationship with clients and improved my Active Listening Skills. At IDG, I have completed a Certified Sales training. This course addressed the most important aspects of the sales process.
2014	WikiVox, France Web Programmer I was responsible for the installation and administration of a Wiki Web Application based on the MediaWiki engine. Extensive experience with the MediaWiki Engine: Configuration of a Multilingual Wiki. User access levels configuration. Implementation of different CAPTCHA methods. Implementation of a payment gateway. Page categorization. Take a look at my personal Wiki: http://perso.sinfronteras.ws/index.php/Computer_Science_and_IT Administration of a Linux Server: Installation and configuration of a LAMP stack: Apache, MySQL, PHP. Database management: MySQL, PhpMyAdmin.
2012 ↑ 2011	Simón Bolívar University - Funindes USB, Venezuela Research geophysicist of the Parallel and Distributed Systems Group (GRyDs) Click here to see some examples of my work in Seismic modelling. As a Research Geophysicist I was responsible of ensuring the correct integration and implementation of geophysical applications into a computer cluster platform. This platform was being designed in order to facilitate task scheduling and run computation intensive tasks on clusters. One of my main activities was shell script programming for Seismic Modeling and Processing. My responsibilities include: Shell script / MATLAB programming for seismic data processing and modeling. Task automation using Shell scripting. Simulations of seismic waves propagation: Wavefront and ray tracing. Generation of pre-stacked synthetic seismic data using wave propagation theories (raytracing and finite difference methods). 2D/3D Seismic data processing.
2011 ↑ 2010	CGGVeritas, Venezuela Seismic data processing analyst Demultiplexing, Reformatting (SEG -Y/SEG -D). Seismic data edition: Searchin for noisy, monofrequency and incorrect polarities traces. Geometrical spreading correction. Set-up of field geometry. Geometry QC. Application of field statics corrections, Deconvolution, trace balancing. CMP sorting, Velocity analysis, Residual statics corrections. NMO Correction, Muting, Stacking, Filtering. Filtering: Time-variant, band-pass. Post-stack/Pre-stack time and depth migration.
2010 ↑ 2008	Simón Bolívar University, Venezuela Academic Assistant - Earth Sciences Department As a Academic Assistant, I was in charge of collaborating with the lecture by teaching some modules of the Geophysical Engineering program at Simón Bolívar University. I was usually in charge of a group between 20 and 30 students during theoretical and practical activities. This experience has contributed to my professional development in two major areas: By teaching modules, I have solidified many technical geophysical knowledge. I have also developed communication and presentation skills, as well as the leadership strategies needed to manage a group of students and to transfer knowledge effectively. Courses taught: Seismic data processing: Concepts of discrete signal analysis, sampling, aliasing and discrete Fourier transform. Conventional seismic data processing sequence. Seismic methods: The convolutional model of the seismic trace. Propagation and attenuation of seismic waves. Interpretation of seismic sections. Seismic reservoir characterization: Relations between the acoustic impedance and the petrophysical parameters. Well-Seismic Ties. Seismic inversion and AVO.

Education

In progress	College of Computing Technology (CCT), Ireland Diploma in Predictive Data Analytics 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
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
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
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.
2011	Simón Bolívar University, Venezuela MSc in Earth sciences Specialty: Geosciences applied to petroleum. Master thesis project (Excellence Honor Mention): Study of Pull up/Push down effects through seismic modelling, colombian plains.
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.

Skills and Qualifications

Programming and Software Development	Data science	Other qualifications
Projects: Java Desktop App - Zoo Management System In this project, we have created a GUI Java (Swing) Application for a Zoo Management System. You can try the application by downloading the Java Jar file from this link: http://wiki.sinfronteras.ws/images/2/27/ZooManagementSystem.jar Github repository: https://github.com/adeloaleman/JavaDesktopApp-ZooManagementSystem Java Desktop App - Stock Market Simulator In this project, we have created a GUI Java (Swing) Application that simulates a trading day of a simplified model of a stock market. You can try the application by downloading the Java Jar file from this link: http://wiki.sinfronteras.ws/images/0/00/SMSimulator.jar Github repository: https://github.com/adeloaleman/JavaDesktopApp-StockMarketSimulator Web App - Clone of Twitter Visit the Web App at http://62.171.143.243 Github repository: https://github.com/adeloaleman/WebApp-CloneOfTwitter This Application was developed using: Back-end: Node.js (Express) (TypeScript) Front-end: React (TypeScript) Web App - Library Management System Some of the languages I've worked with: Python Python for Data Science Dash - Plotly Scrapy JavaScript React Node.js - Express.js HTML & CSS Java Java GUI Programming SQL Shell Scripting R PHP C Object-Oriented Concepts and Constructs SOLID Principles Class vs Object vs Instance Methods Variables Modifiers Four fundamental OOP concepts Encapsulation Inheritance Polymorphism Abstraction Nested classes Upcasting - Downcasting Errors and Exceptions Passing Object References Connecting to a MySQL database using Java Threads Serialization Object Orientation with Design Patterns Creational Patterns Singleton Pattern Factory Pattern Abstract Factory Pattern Builder Pattern Prototype Pattern Structural Patterns Adapter Pattern Facade Pattern Proxy pattern Decorator Pattern Behavioural Patterns Chain of Responsibility Pattern Command Pattern Iterator Pattern Observer Pattern Mediator Pattern Data Access Patterns Data Access Object Pattern Model-View-Controller MVC Data Structures & Algorithms Analysis of algorithms The Stack Data Structure The Queue Data Structure The Array Data Structure The List Data Structure The Linked List Data Structure The Tree Data Structure Recursion vs Iteration Bubble and Insertion Sort Web Development HTML CSS JavaScript React Node.js - Express.js Dash - Plotly PHP Ruby on Rails Web server Web mapping HTML presentation with Reveal.js Mobile Development Native vs Hybrid Frameworks Cordova - PhoneGap Ionic and Capacitor Systems Analysis & Design GitHub	Projects: Developing a Web Dashboard for analyzing Amazon's Laptop sales data Try the App at http://dashboard.sinfronteras.ws Github repository: https://github.com/adeloaleman/AmazonLaptopsDashboard A demo video is available at https://www.youtube.com/watch?v=WrvEoA9DD4g Supervised Machine Learning for Fake News Detection http://fakenewsdetector.sinfronteras.ws: This is the link to a Web Application that has been created to easily interact with the Machine Learning Models created. It allows us to determine if a News Article is Fake or Reliable by entering the text into an input field. The input text will be processed by the Machine Learning Models at the back-end and the result will be sent back to the client. This Web App was created using Shiny, an R package that can be used to build interactive web apps straight from R. https://github.com/adeloaleman/RFakeNewsDetector: This is the link to a Github repository that contains a R Library we have created to package the Machine Learning Models built. This package contains essentially three functions: modelNB(), modelSVM() and modelXGBoost(). These functions take a news article as argument and, using the Models created, return the authenticity tag («fake (1)» or «reliable (0)»). Social Media Sentiment Analysis using Twitter Data Mathematics and Statistics for Data Science Python for Data Science NumPy and Pandas Data Visualization with Python Pandas Built-in Data Visualization Matplotlib Seaborn Plotly and Cufflinks Word cloud Text Analytics Natural Language Processing Dash - Plotly Scrapy R R tutorial RapidMiner Jupyter Diploma in Predictive Data Analytics Big Data Integration	Projects: Automatic backup in the cloud using shell scripting Seismic Wave Propagation Modelling Databases Database design Conceptual design Entity relationship modelling The Enhanced Entity-Relation Model Logical design Relational Model Normalisation RDBMS MySQL Backup and Restore MySQL/MariaDB Databases Import a CSV file into a MySQL database Reset the MySQL/MariaDB Password Authentication and Authorization SQL Practice Labs Stored Procedures Stored Functions Triggers Events Cursors Transactions Exception Handling PostgreSQL GUI DB administration tools MySQL Workbench PhpMyAdmin SQLectron Cloud Computing AWS Google Cloud Networking Network Simulation using PacketTracer Linux Advanced experience with the most popular flavors of Linux: Debian, Ubuntu, Red Hat, CentOS LAMP Administration: Apache, MySQL, PHP Installation and Post-installation configurations Users and Groups Administration Modify File Permissions Managing Processes Backups Network File System (NFS) Remote Management with SSH Shell Scripting Study points for the RHCSA exam

My projects portfolio

https://github.com/adeloaleman Developing a Web Dashboard for analyzing Amazon's Laptop sales data Try the App at http://dashboard.sinfronteras.ws Github repository: https://github.com/adeloaleman/AmazonLaptopsDashboard A demo video is available at https://www.youtube.com/watch?v=WrvEoA9DD4g Supervised Machine Learning for Fake News Detection http://fakenewsdetector.sinfronteras.ws: This is the link to a Web Application that has been created to easily interact with the Machine Learning Models created. It allows us to determine if a News Article is Fake or Reliable by entering the text into an input field. The input text will be processed by the Machine Learning Models at the back-end and the result will be sent back to the client. This Web App was created using Shiny, an R package that can be used to build interactive web apps straight from R. https://github.com/adeloaleman/RFakeNewsDetector: This is the link to a Github repository that contains a R Library we have created to package the Machine Learning Models built. This package contains essentially three functions: modelNB(), modelSVM() and modelXGBoost(). These functions take a news article as argument and, using the Models created, return the authenticity tag («fake (1)» or «reliable (0)»). Social Media Sentiment Analysis using Twitter Data Java Desktop App - Zoo Management System In this project, we have created a GUI Java (Swing) Application for a Zoo Management System. You can try the application by downloading the Java Jar file from this link: http://wiki.sinfronteras.ws/images/2/27/ZooManagementSystem.jar Github repository: https://github.com/adeloaleman/JavaDesktopApp-ZooManagementSystem Java Desktop App - Stock Market Simulator In this project, we have created a GUI Java (Swing) Application that simulates a trading day of a simplified model of a stock market. You can try the application by downloading the Java Jar file from this link: http://wiki.sinfronteras.ws/images/0/00/SMSimulator.jar Github repository: https://github.com/adeloaleman/JavaDesktopApp-StockMarketSimulator Web App - Clone of Twitter Visit the Web App at http://62.171.143.243 Github repository: https://github.com/adeloaleman/WebApp-CloneOfTwitter This Application was developed using: Back-end: Node.js (Express) (TypeScript) Front-end: React (TypeScript) Web App - Library Management System Automatic backup in the cloud using shell scripting Seismic Wave Propagation Modelling

Papers and Publications

• Adelo Vieira and Crelia Padrón.

Analysis of pull up effects through computational seismic data modeling and depth migration, Colombian plains. ↓Download

• Alejandro Gutiérrez, Evert Durán, Adelo Vieira and Crelia Padrón.

Estimation and modelling of reservoirs properties through seismic attributes and geo-statistics in gas fields, southern Spain. SOVG, XIV Venezuelan Geophysics Congress, 2008. ↓Download

Languages

		Listening	Reading	Spoken interaction	Spoken production	Writing
Spanish	Mother tongue
English	Fluent	C1	C1	C1	C1	C1
French	Fluent	C2	C2	C2	C2	C2
Portuguese	Intermediate	C1	B2	B1	B1	A2

A: Basic user.       B: Independent user.       C: Proficient user. Common European Framework of Reference (CEF) level

Interests and other activities

• Member of the water polo team at Simón Bolívar University: Attendance at 5 National University Games.
• Swimming instructor at U.E.U.S.B school.
• Open-source software.
• Travel, Volleyball, Open-Water Swimming.