Prankur Garg

I am a data scientist with 5+ years of hands‑on experience building predictive models, NLP systems, and time‑series solutions across healthcare (EHR/EMR) and e‑commerce domains. I hold a Master of Science in Applied Data Science and combine strong statistical foundations with production ML engineering skills.

I have led cross‑functional initiatives that reduced patient no‑shows by 20%, improved 30‑day readmission AUC‑ROC by 15% using BiLSTM–Transformer models, and deployed BERT‑based sentiment and multilingual text classification pipelines to boost customer satisfaction and accuracy. I design end‑to‑end solutions on Databricks/Azure with MLflow monitoring and visualization in Power BI.

I collaborate with clinicians, product managers, and engineers in agile squads to translate domain problems into scalable AI solutions, and I continuously focus on measurable outcomes such as revenue uplift, operational efficiency, and model performance improvements.