Manohar C

I worked on AI and ML domain 
I worked on project called IPL score prediction 

Credit card fraud events take place frequently and then result in huge financial losses. Criminals can
  use some technologies such as Trojan or Phishing to steal the information of other people's credit cards.
 Therefore, an effective fraud detection method is important since it can identify a fraud in time when a criminal
 uses a stolen card to consume. One method is to make full use of the historical transaction data including normal
 transactions and fraud ones to obtain normal/fraud behavior features based on machine learning techniques, and
 then utilize these features to check if a transaction is fraud or not.
 In this paper, two kinds of random forests are used to train the behavior features of normal and abnormal
 transactions. We make a comparison of the two random forests which are different in their base classifiers, and
 analyze their performance on credit fraud detection. The data used in our experiments come from an e-commerce