I was working in Machine Learning and Artificial Intelligence from 2011. I had a conference paper in this in IEEE " Classification of Normal and Epileptic EEG Signal Using Time & Frequency
Domain Features through Artificial Neural Network, in 2012 International Conference on Advances in Computing and Communications "
I used to work with regression and classification problems
I used algorithms like Neural Network(Probablistic Neural Network, Back Propogation, Competitive etc), SVM, SVM regression,
logistic regression, linear regression, random forest, KNN, decision tree etc
From 2017 I started doing commercial projects for KAIZEN TECHNOLOGY, Atlanta, GA. Some of the projects are
* predict timely repayment of loan ( decision tree & random forest )
* stock prediction for certain stocks (keras LSTM)
* review based rating of Indian food festival (NLTK)
* web traffic prediction (linear regression)
I also worked with a team for consulting for a mobile service provider in USA to analyse the possibility of Machine Learning in
merging with another service provider
Used following libraries Scikit-learn, keras, numpy and pandas