CV

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 projects using Java, React, Node.js (Express.js), and Dash. I also have advanced experience with the most popular flavors of Linux (including Shell Scripting) and excellent academic experience in Relational database (SQL, MySQL, PostgreSQL) and cloud computing (AWS and Google Cloud).

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

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 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: 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 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 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 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 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 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

Relevant courses

• Python for Data Science and Machine Learning Bootcamp

Content overview

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/

• Object Oriented Programming in Python (150+ Exercises)

See course content at https://www.udemy.com/course/exercises-object-oriented-programming-in-python-oop-course/

• AWS Academy - Cloud Foundations

Content overview

Introduction to AWS Cloud Essential Characteristics of cloud computing, Service Model, Deployment Models AWS Global Infrastructure: Regions, Availability zones, Edge Locations .

AWS foundation services: Compute: EC2, AWS Lambda, ECS, Auto Scaling Networking: VPC, Elastic Load Balancer, Route 53 Storage: Amazon EBS, Amazon S3, Amazon EFS, Amazon Relational Database Service (RDS)

• AWS Academy - Cloud Architecting

Content overview

Designing a cloud environment Designing for High Availability Configuring VPS, Availability zones, NAT Gateway, Route Table, Load Balancer, Auto Scaling Group. Automating your Infrastructure Infrastructure as code AWS CloudFormation Templates .

Decoupling your Infrastructure Loose coupling Strategies Designing Web Scale Media Storing Web-Accessible Content with Amazon S3 Caching with Amazon CloudFront Storing relational data in Amazon RDS, Managing NoSQL databases

Multi-region failover with Amazon Route 53 . . . . .

• Red Hat Certified Systems Administrator Prep (RHCSA)

Content overview

Essential tools: Input/output redirection. Grep and Regular Expressions to analyse text Access remote systems using SSH. Configure key-based authentication for SSH. Finding files with Locate and Find Archive and Compress files using tar and gzip. Create hard and soft links Managing Processes: Adjust process priority and kill processes

Configure Local Storage: List, Create and Delete partitions on MBR and GPT Disks. Configure systems to mount file systems at Boot Add new partitions, logical volumes and Swap to a System Create and configure File Systems: Create and Mount VFAT, EXT4 and XFS file systems. Mount CIFS and NFS Network File systems

Configure network connections statically or dynamically. Schedule tasks using «at» and «cron» Install and update software packages and managing repositories using «yum» Manage users and groups: Create, delete and modify user accounts and groups Configure Firewall settings.

See the complete course content at https://www.udemy.com/course/linux-academy-red-hat-certified-systems-administrator-prep/

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	C2	B2	B2	B2	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.