AIML graduate who has built and deployed end-to-end ML/analytics systems
Send a job offer directly to this candidate
AIML undergraduate who has built and deployed 2 end-to-end ML/analytics systems including a churn prediction model (79.38% accuracy, 0.7515 ROC-AUC) containerized with Docker/MLflow and deployed live on Render, and a sales intelligence pipeline processing 100K+ orders across 9 relational tables. Proficient in Python, SQL, Machine Learning, NLP, Power BI, and MLOps
Bachelor of Technology in Computer Engineering – NIMS Institute of Engineering & Technology (2022-01 – 2026-12)
