Web Application for Time-Series Model

Fares El Salamony

Data Scientist
Backend Engineer
Docker
Microsoft SQL Server
Python
Web Application was developed to host a Time-Series model which predicts the upcoming number of service requests in the day for a specific service provider and then showing the predictions in multiple formats and graphs to give insights to the client and help them take their decisions. The web app is developed using python and flask framework and Microsoft SQL database and deployed on Google Cloud Platform (GCP).
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