Delivered Training to a number of Corporate Clients for various durations.

Typical schedule is about 2 weeks / 80 hours training package as details listed in the website linkhttp://educoders.in/tech/

Training are for2 levers - for Managers on overview of technology and for Developers with hands on technology skills.

Usual environment considered for the training is Python with Anaconda / Jupyter Notebook and exampleson Machine Learning algorithm development.

A few features of the product were developed by the offshore team and I managed that part. The development scope was mainly on Machine Learning part on analysing the data, developing the right algorithms for anomaly detection based on business rules. The platform used was Microsoft Azure.

For CGI India, employee data was analysed to develop a Predictive mode using Machine Learning techniques.

The outcome dashboard provides a speedometer needle movement displaying % likelihood of attrition probability of the employee.

It has been a interesting project that required analysing the impact of various parameters of employees database.

This project was carried for the client Shell BV, Netherland.

Sub Surface wells drilling exploration generates a huge amount of status data for various components.

The project was to ascentain the predictive maintenence of the critical components.

This required a thorough analysis of features as part of feature analysis and feature co-relations.

As part of Capstone Project the requirement was to use a corpus of text from news feed, blogs etc and apply the sequence of text analysis.

The required outcome achieved was - keyboard typing simulation with suggestive word prediction.