Open to opportunities

Prankur Garg

@prankur

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Data scientist driving healthcare and e‑commerce impact with ML.

India

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What I'm looking for

I seek roles applying ML/NLP in healthcare or e‑commerce, collaborating cross‑functionally to deploy production models that deliver measurable outcomes and opportunities for technical growth.

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.

Experience

Work history, roles, and key accomplishments

Data Scientist

eClinicalWorks LLC

Oct 2021 - Jan 2025 (3 years 3 months)

Led clinical ML initiatives including a no-show XGBoost model that reduced no-shows by 20% and a BiLSTM-Transformer that improved 30-day readmission AUC-ROC by 15%, while deploying monitoring pipelines on Databricks and MLflow.

Python Pyspark XGBoost Databricks MLFlow Time Series NLP Deep Learning Power BI

Data Analyst

WebCraft IT

Jul 2017 - Jan 2019 (1 year 6 months)

Built logistic regression and time series models to predict churn and forecast sales, increasing e-commerce sales by 12% and improving inventory planning and revenue through Tableau dashboards.

R Time Series Logistic Regression Tableau SQL Data Analysis Forecasting Dashboards

Education

Degrees, certifications, and relevant coursework

Syracuse University

Master of Science, Applied Data Science

2019 - 2021

Grade: 3.72

Completed a full-time Master of Science in Applied Data Science focusing on predictive modeling, NLP, and time series analysis; graduated with a 3.72 GPA.

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Bachelor of Engineering, Computer Science and Engineering

2013 - 2017

Grade: 7.37

Activities and societies: Served as Event Secretary and coordinator for the intercollegiate techno-culture fest Varenya; Committee Coordinator for the annual tech-fest inauguration.

Completed Bachelor of Engineering in Computer Science and Engineering with a CGPA of 7.37, gaining foundations in software and data analysis.