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Name: Douglas Oliveira
Type: User
Company: Net2phone Canada
Bio: Data Analyst | Data Scientist | Data Engineer | Business Intelligence
Location: Ottawa, ON
Name: Douglas Oliveira
Type: User
Company: Net2phone Canada
Bio: Data Analyst | Data Scientist | Data Engineer | Business Intelligence
Location: Ottawa, ON
Analyzed 50 datasets of Amazon reviews written by members of the paid Amazon Vine program. Implemented ETL using Amazon Web Services, PySpark and Postgres SQL.
Exploring Bike-Sharing Data with Tableau. Create Worksheets, dashboards, and stories from New York City bike-sharing data.
We'll use Python to build and evaluate several machine learning models to predict credit risk. Being able to predict credit risk with machine learning algorithms can help banks and financial institutions predict anomalies, reduce risk cases, monitor portfolios, and provide recommendations on what to do in cases of fraud.
Use unsupervised Machine Learning techniques to analyze cryptocurrency data
Plotly Project page on GitHub for deployment
Automating the results of an election using Python and Visual Studio Code
Group 3 Final Project - Data Science Bootcamp
Performing analysis on Kickstarter data to uncover trends on Excel.
Use JavaScript's Leaflet library along with the Mapbox API to create visualizations of earthquake data form the U.S. Geological Survey
Learn how to use R and statistics in order to analyze vehicle data
Build an app to scrape websites for data pertaining to the Mission to Mars, and then create an HTML page to display the findings
ETL (Extract, transform and load) is a essential process for a Data Analysis. In this project we will Create an ETL pipeline from raw data to a SQL database, extract data from disparate sources using Python and then clean and transform data using Pandas and load data with PostgreSQL
Create a deep-learning neural network to analyze and classify the success of charitable donations.
Data Analysis using SQL, Data modelling and Data engineering
Initial SQL exploration
Build an interactive dashboard using Plotly.js to explore data on the biodiversity of belly buttons and then deploy the dashboard to a cloud server
Creating visualizations of rideshare data for PyBer to help improve access to ride-sharing services and determine affordability for underserved neighborhoods.
Using Pandas and Jupyter Notebook
Stock-Analysis using VBA
Using SQLite, SQAlchemy, Python in a Jupyter Notebook and Design a Flask application using data.
Use JavaScript, HTML, and CSS to create a custom webpage that showcases different UFO sightings around the world
Using Jupyter Notebook, Pandas Library, CityPy, Python, APIs and JSON Traversals, to get more than 500 random latitudes and longitudes and analyze weather data
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.