Future of Loan Approvals with Explainable AI
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Summary
Developed an AI/ML project focused on enhancing the transparency and fairness of loan approval processes by integrating Explainable AI (XAI) techniques.
Highly motivated and results-oriented aspiring AI/ML Engineer with a strong foundation in Python, C, C++, and Java programming. Eager to apply analytical and technical skills, developed through a B-Tech program and practical projects like 'Future of Loan Approvals with Explainable AI', to contribute to innovative solutions in a dynamic organization. Committed to continuous learning and enhancing productivity while gaining valuable industry experience.
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B-Tech
Engineering
Grade: 70%
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Diploma
Engineering
Grade: 72%
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SSC
Secondary Education
Grade: 9.0 GPA
Issued By
Internship Provider
Python, Java, C, C++.
Artificial Intelligence (AI), Machine Learning (ML), Explainable AI (XAI), Data Analysis, Predictive Modeling.
MS-Excel, MS-Office, AutoCAD, PowerPoint.
Full Stack Development.
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Summary
Developed an AI/ML project focused on enhancing the transparency and fairness of loan approval processes by integrating Explainable AI (XAI) techniques.