@mayanksrivastava4
Machine learning professional whose credit risk project achieved 0.79 AUC, with hands-on experience in Python, SQL, and Generative AI.
IndiaI built a credit risk model using Logistic Regression and validated it with AUC, KS, Gini, and PSI measures. The model achieved 0.79 AUC and showed strong out-of-sample stability.
As a Software Engineering Intern at Bharat Heavy Electricals Ltd. (BHEL), I automated workflows in an employee management application, improving processing efficiency by 2x and reducing response time by 57%. I also worked on data checks that improved verification quality and reduced administrative errors.
Work history, roles, and key accomplishments
Bharat Heavy Electricals Ltd.
Jun 2023 - Jul 2023 (1 month)
Automated key workflows within the employee management application, improving processing efficiency by 2x and reducing response time by 57%. Identified and resolved data-accuracy gaps, saving $4,600+ per month.
Degrees, certifications, and relevant coursework
B.Tech, Computer Science and Engineering
2021 - 2025
Pursued a B.Tech in Computer Science and Engineering from 2021 to 2025.
CBSE 12th Grade, General
Completed CBSE 12th Grade in 2020.
Software and tools used professionally
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