CV - Courses

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).

Relevant 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/

• AWS Academy - Cloud Architecting

Course content

Designing a cloud environment Designing for High Availability Configuring VPS, Availability zones, NAT Gateway, Route Table, Load Balancer, Auto Scaling Group. Configuring VPS, Availability zones, NAT Gateway, Route Table, Load Balancer, Auto Scaling Group. 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

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See the complete course content at https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/