Machine Learning Engineer
CitiusTech Healthcare Technology Pvt. Ltd.
Aug 2019 - Mar 2021 (1 year 8 months)
• Built Python/SQL pipelines processing 1M+ patient and claims records, reducing data preparation time by ~30% for downstream
ML workflows.
• Developed 30-day hospital readmission prediction models using XGBoost and Random Forest, achieving ~82% AUC and enabling
early identification of high-risk patients.
• Applied PCA and domain-driven feature engineering on clinical and claims data, improving model F1-score by ~12% and reducing
feature dimensionality by ~40%.
• Resolved recurring pipeline failures including data inconsistencies and job timeouts, reducing failure rates by ~35% while
consistently meeting SLA timelines.