Difference between revisions of "CV - Courses"

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''[https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/ Interactive Python Dashboards with Plotly and Dash]''
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''[https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/ Python for Data Science and Machine Learning Bootcamp, Udemy]''
 
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See course content at https://www.udemy.com/course/interactive-python-dashboards-with-plotly-and-dash/
 
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'''Course content'''
 
'''Course content'''

Revision as of 17:23, 13 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).





  • 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


  • Designing a cloud environment
  • Automating your Infrastructure
  • Designing for High Availability
  • 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
  • ...