// experience · iNeuron AI
ML Engineer Intern
Built learner dropout-risk and phishing URL classifiers with feature and data-quality pipelines.
- Organization
- iNeuron AI
- Period
- Aug 2022 – Aug 2023
- Location
- Bengaluru, India
What I worked on
- Developed XGBoost classifiers for learner dropout risk (0.86 AUC across 12,000 learners) and phishing URL detection (20+ URL/domain features, 92% accuracy).
- Built a behavioral feature pipeline converting raw activity logs into 24 rolling-window features with drift and quality checks for retraining.
Technical context
Python · XGBoost · Feature engineering · Model evaluation · Drift monitoring