Refresh Amazon QuickSight SPICE Datasets

Covid-19 hospitalization dashboard

Streaming data pipeline on aws, Tech session repository for hist

ML Model that takes a user's resume and desired job's profile, identifies skills gaps and recommends course learning pathway to bridge gap

Daily power consumption and production data retrieving and insights from France.

An End-To-End data pipeline integration from Website Source to analytical dashboard in AWS using Python flask, ML models, DynamoDB and other AWS services.

Unveiling job market trends with Scrapy and AWS

This project aims to securely manage, streamline, and perform analysis on the structured and semi-structured YouTube videos data based on the video categories and the trending metrics.

Data Engineering Final Project - June 23, 2022

Get the dataset intro a S3 bucket, use AWS glue to transform the dataset, write a Lambda script to clean the dataset, query the dataset via AWS Athena then build a dashboard using AWS Quicksight.

. The specific project covered in the tutorial involves using Amazon S3 and Amazon QuickSight to create visualizations from a data set of 50,000 best-selling products on Amazon.com provided by Bright Data.

Dashboard generated using Python and AWS services

Batch datapipeline on aws using glue in 2022

Batch datapipeline on aws using glue

US Insurance cost predicting linear regression model. Mainly used to learn about Machine Learning tools in Amazon Web Services (AWS)

A demand forecasting pipeline deployed on Azure and AWS

Data lake demo using change data capture (CDC) on AWS

This project is based for legacy applications that works with positional files to process data. The objetive is read these positional files when they arrives in AWS S3, and then send to a dataware-house like AWS Redshift, and finally read the results with a Business Intelligence tool as AWS QuickSight.

Put-away is one of the most crucial process in supply chain. If we misplace the goods, all of the rest process could be potentially delayed. That's why we choose this process to be improved by multiclassification machine learning model and dashboarding with AWS.

The testbed showing how to embed QuickSight dashboards into a web app