Rohit Dusane

𝐓𝐮𝐫𝐧𝐢𝐧𝐠 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐝𝐚𝐭𝐚 𝐢𝐧𝐭𝐨 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐰𝐢𝐭𝐡 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠

I’m a Data Scientist with over 2 years of experience building real-time machine learning pipelines in the healthcare sector. I hold an M.Sc. in Statistics from North Maharashtra University, where I gained a strong foundation in statistical modeling, inference, and multivariate analysis. My academic background sparked a passion for solving real-world healthcare problems through data.

Professionally, I specialize in end-to-end ML development — from data wrangling and feature engineering to model training, deployment, and monitoring. I’ve worked extensively with Python, FastAPI, Streamlit, MLflow, and Docker. Notable achievements include reducing false positives by 15% in a readmission risk model and designing custom ML solutions that help healthcare clients turn raw data into meaningful insights.

I excel at interpreting complex datasets and developing solutions that improve clinical outcomes and operational efficiency. My work blends technical proficiency with communication and teamwork — critical when collaborating with cross-functional stakeholders in fast-paced environments.

As I pursue new opportunities, I’m eager to contribute to impactful projects at the intersection of AI and healthcare. I’m especially interested in predictive analytics, clinical decision support, and applied research that leverages machine learning to transform patient care and drive innovation.

Freelance Data Scientist | ML Engineer

Sep 2024 – Present

Delivered ML solutions for healthcare and finance clients, including a readmission risk predictor (15% fewer false positives) using XGBoost. Deployed end-to-end pipelines with FastAPI and Streamlit. Built real-time dashboards and optimized decision-making through pattern analysis on client data.

Biostatistician – NMC Healthcare

Dec 2018 – Aug 2024

Led statistical modeling (logistic regression, survival analysis) to optimize patient care. Supported 5+ clinical studies and co-authored 3 publications. Created Power BI dashboards to reduce data interpretation time by 25%. Improved patient outcomes via predictive analytics.

Statistician – Tata Memorial Centre

Aug 2013 – Jul 2018

Applied advanced statistical techniques to support clinical trials and authored 10+ research publications. Ensured data integrity, drove actionable insights, and optimized research protocols in oncology studies.

1. M.Sc. in Statistics – North Maharashtra University, Jalgaon, 2012
2. B.Sc. in Statistics – North Maharashtra University, Jalgaon, 2010