A word cloud based on browser mentions in GitHub commit messages.

Scripts used for analyzing GitHub commit locations to create a map visualization

Bazel C++ Client Libraries for BigQuery

Copy table from one dataset to another in google big query using bash script

Repo for queries written to run on Big Query for a data analytics project.

Tool for copy tables, delete tables and write queries for time range

In this project, I am trying to predict traffic congestion, based on an aggregate measure of stopping distance and waiting times, at intersections in 4 major US cities: Atlanta, Boston, Chicago & Philadelphia.

Big data analysis of 'shared-world' cloud application.

Cloud application to promote responsible tourism and help prevent overtourism.

Webscraping dos dados do site Mercado Livre. Esses dados são exportados para uma base de dados BigQuery e algumas informações relevantes são obtidas através de consultas SQL.

This is the second version of the Google Serch Trends API. Having completed the initial testing of the first version. The next step was to create a series of functions in line with the principles of object-oriented programming. Initially was created in a linear format as a proof of concept. Later split the code into five main functions.

As part of my Data Engineering professional development, I am developing an array of data pipelines which extract, transform and load the data from various sources such as this Quandal API, CSV, JSON and database such as Google BigQuery, Microsft SQL Server and PostgreSQL, just to name a few.

An example linear regression model I generated with Google BigQuery from the public data set 'Medicare'. Mostly a proof of concept, tools such as R would better fit this purpose.

Using kafka streaming to implement the streaming ETL job, append data onto GCP Big Query after formatting.

Master of Applied Data Science - Milestone I Project (San Francisco Bike Sharing)

Objective: Perform market analysis on Iowa liquor stores using State of Iowa alcoholic records, US census, US geological GIS data.

eCommerce Marketing Analytics using Google BigQuery

Ranked as top-1 in Columbia EECS 6893 in Topics in Signal Processing: Big Data Analysis

Analysed SEVIR and Storm Datasets and visualized the data using Big Query on Data Studio. Datasets: Sevir Data: The Storm EVent ImagRy (SEVIR) dataset is a collection of temporally and spatially aligned images containing weather events captured by satellite and radar. Visualized using Big Query and Data Studio.

exploratory data analysis of an open-source COVID-19 dataset using BigQuery syntax