
Ensemble Machine Learning Model on Big Red Bank Dataset
• Implemented XGBoost and Gradient Boosting using Python and Sk. Learn to predict customer’s loan preferences at an accuracy of 99.5%
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My Projects
Ensemble Machine Learning Model on Big Red Bank Dataset
• Implemented XGBoost and Gradient Boosting using Python and Sk. Learn to predict customer’s loan preferences at an accuracy of 99.5%
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Machine Learning Model Based Data Analysis on Walmart Sales
• Analyzed Walmart dataset consisting of 6000+ tuples using Python 3.6 on the Jupyter notebook system. • Implemented linear regression, logistic regression,
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PAtt - Light-Weight and Passive Attestation for IoT - Nation
• Spearheaded the development of a secure algorithm for the Internet of Things (IoT) devices, in collaboration with a research group of 5 members, to detect
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Blockchain and its applications in transforming business ent
• Developed a blockchain-based securities (bonds) platform on IBM Hyperledger Fabric and studied the working with a focus on data integrity and data provena
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