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Text
CV
From Sinfronteras
Jump to: navigation, search Adelo Vieira, Data Scientist _47-A Phibsborough Rd, Dublin, Ireland___
_+353 852 40 72 08___
_adeloaleman@gmail.com___ Github
__ Linkedin
My projects portfolio __ Download a pdf version of my CV __
BSc. (Hons) in Information Technology. I'm also a Geophysical Engineer and MSc in Petroleum Geoscience with strong mathematical, problem-solving, and analytical skills. I'm currently particularly interested in Data Analytics and Software Development. Proficient in multiple programming languages, including Python, Java, JavaScript, SQL, and R. I have a huge interest in Machine Learning and Natural Language Processing. I've been recently working in areas such as Text classification and Sentiment Analysis. I have solid knowledge in several ML algorithms (Naive Bayes, Decision Trees, K-Nearest Neighbour) and in Time Series Analysis. I have experience working with Python (Pandas, NLPTK, Scikit-learn, SciPy, Plotly, TextBlob, Vader Sentiment), R, and RapidMiner. Solid academic experience in Object-oriented programming and Web Development. I have developed several academic projects using Java, React, Node.js (Express.js), and Dash. I also have advanced experience with the most popular flavors of Linux (Shell Scripting) and excellent academic background in Databases (SQL) and cloud computing (AWS and Google Cloud).
CONTENTS
* 1 _WORK EXPERIENCE_* 2 _EDUCATION_
* 3 _SKILLS AND QUALIFICATIONS_ * 4 _MY PROJECTS PORTFOLIO_* 5 _COURSES_
* 6 _PAPERS AND PUBLICATIONS_* 7 _LANGUAGES_
* 8 _INTERESTS AND OTHER ACTIVITIES__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 clientdetails.
* I work in different markets and contact clients in French, English and Spanish: France, Belgium, Luxembourg, Spain, Middle East andAfrica.
* 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 andmodeling.
* Task automation using Shell scripting. * Simulations of seismic waves propagation: Wavefront and raytracing.
* 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, tracebalancing.
* 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 practicalactivities.
* This experience has contributed to my professional development intwo major areas:
* By teaching modules, I have solidified many technical geophysicalknowledge.
* 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 ofseismic sections.
* Seismic reservoir characterization: Relations between the acoustic impedance and the petrophysical parameters. Well-Seismic Ties. Seismicinversion and AVO.
_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_2019_
COLLEGE OF COMPUTING TECHNOLOGY (CCT) , IRELAND BACHELOR OF SCIENCE (BSC) IN INFORMATION TECHNOLOGY * Final year project: Supervised Machine Learning Models for FakeNews 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 WebApplication.
_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._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 fromthis 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
* LATEX
+/-
* 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 salesdata
* 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 * Descriptive Data Analysis * Correlation & Simple and Multiple Regression* Naive Bayes
* Decision Trees
* K-Nearest Neighbour* Boosting
* Perceptrons - Neural Networks and Support Vector Machines * Association Rules - Market Basket Analysis* Clustering
* Time Series Analysis* Model Evaluation
* Text Analytics
* Information Retrieval * Natural Language Processing * 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 in Python* Dash - Plotly
* Scrapy
* R
* R tutorial
* RapidMiner
* Jupyter
* Mathematics and Statistics for Data Science * 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
* 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* NETWORKING
* Network Simulation using PacketTracer _MY PROJECTS PORTFOLIO_ https://github.com/adeloaleman +/- * Developing a Web Dashboard for analyzing Amazon's Laptop salesdata
* 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 fromthis 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_COURSES_
* _Python for Data Science and Machine Learning Bootcamp, Udemy_
COURSE CONTENT
* NumPy and Pandas
* Python for Data Visualization: * Matplotlib, Seaborn, Pandas Built-in-Data Visualization * Plotly and Cufflinks * Geographical Plotting* Linear Regression
* Cross Validation and Bias-Variance Trade-Off * K Nearest Neighbors * Decision Tress and Random Forests * Support Vector Machines * K Means Clustering * Principal Component Analysis * Recommender Systems * Natural Language Processing See the complete course content at https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/ * _Interactive Python Dashboards with Plotly and Dash_
See course content at https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/ _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 CreliaPadrón._
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_
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C2
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B2
A2
A: Basic user. B: Independent user. C: Proficientuser.
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.Retrieved from
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