this studio main aim to make the end to end journey of the data scientist easy.

as part of this platform development i am responsible for creating the features and adding it to the platform,responsible for adding the machine learning algorithms to platform and make it to run in distributed environment.

one major contribution i had done for this making the kernels to run in distributed environment using jupyter enterprise gateway.

As Part of the cerebra platform i had contributed for creating the data platform which will be able to read the data from the different of sources and gateway devices and process the real time data ,run the rules on the data by passing it through the event based rule engine and alert the users if any breach happens.

i am responsible for creating entire data pipeline and data model for the project.as it is unstructured data coming from the machines first time i had tried using mongodb as the database.

the main challenge i faced here how to make mongodb work fast for our needs.here in this project first time i had tried the lambada architecture to serve the user of the application fast.

this is my first project which i handle single handed .

in this projec i used to scrape the electric power prices from the power to choose website and process that data and create alerts based on the changes in the prices of power slabs either increase or decrese in the price.

it will alert the elecctricity providers to get alerts via emails if there any changes in slabs from there competetors.

creating the high availability feature to the project. will makes it fault toleraent and avaible to users incase of any breakdown of process