Experienced senior engineer with over 8 years of experience in Fraud detection and Compliance domain. Extensive knowledge in creating real time features for Fraud/ Credit risk. I am looking forward to continue working in features engineering for Fraud.
Drools
Automatic Rule creation using NLP (individual research)
RTRA Rule creation requirement is static in nature, Using NLP libraries extracted significant words and automated rule creation based on extracted words, Trained models to extract important words from the requirement, Project can be used to add controls way more faster than existing approach and will avoid manual intervention,
Sentiment analysis on Data collected from android application ( Curriculum project)
Application aims to determine the attitude of an employee with respect to some topic, Semantic analysis is based on two different linguistic feature selection methods using adjectives, verbs and adverbs, Demonstrated robustness and impact on decision making of the system at BMC software's