A bright, talented and self-motivated data scientist who has excellent organizational skills, is highly efficient and has a good eye for detail. Has experience of assisting in the creating Machine Learning Models and analytical techniques. Able to play a key role in analytical problems and come up with creative solutions as well as producing methodologies and files for effective data management. A quick learner who can absorb new ideas and can communicate clearly and effectively.
Credit Card Fraud Detection using Support Vector Machine Algorithm in High Imbalance Dataset
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About this project
Fraudulent in credit card is the most widespread issue, costing many consumers and certain banks and credit card companies a lot of money. This research introduced an SVM Model with SMOTE for detection of fraudulent act in the credit card transaction in a highly skewed dataset.