Johnson & Johnson - Data Pipeline Creation

 Name of the project: Data Pipeline Creation

 Company introduction: Johnson and Johnson is a medical device company. It is an American ​ multinational corporation​ founded in 1886 that develops medical devices, pharmaceuticals, and consumer packaged goods. It is one of the world’s most valuable companies. It is the company that falls under the list of fortune 500 largest companies. Johnson & Johnson researches and develops various products while selling them in the field of healthcare worldwide.

Non-Technical View of the project: The correct data points are extremely useful in identifying whether a particular strategy or way of doing things is useful for a company or organization. This project will help you to find out whether attending educational events especially on healthcare would be useful or not.

Technical View of the Project: Led and created data pipelines, which used millions of data points, for the identification of the best strategies to increase the effectiveness of professional educational events (specifically those events for medical device training all across the USA and elsewhere). 

Category of the project: Data Science and Machine Learning

Duration of the Project: It lasted around 2 months Tech-Stack Used:

Python

Tensorflow, Numpy, Pandas

Jupyter Notebook, Vagrant

Linear Regression, Logistic Regression, Data Modeling, Cleaning, Artificial Intelligence, Data Science, Machine Learning

Red hat 7 Linux, Windows 10