Difference between revisions of "CV - Courses"

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Revision as of 20:08, 25 January 2021


Adelo Vieira,  Developer / Data Scientist

47-A Phibsborough Rd, Dublin

  +353 852 40 72 08

  adeloaleman@gmail.com

 Github          
 Linkedin        
 Portfolio        
 My Wiki         Download a pdf version of my CV

BSc. (Hons) in Information Technology, Geophysical Engineer, and MSc in Petroleum Geosciencewith 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 experience in Object-oriented programming and Web Development. I have developed several projects using Java, Python, React, Node.js (Express.js), and Dash.

I also have advanced experience with Linux (including Shell Scripting) and I have worked with Relational databases (SQL, MySQL, PostgreSQL) and Cloud computing (AWS and Google Cloud).




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
  • .




  • 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

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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.