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Sujan Bhattarai

@sujanbhattarai

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Data scientist specializing in MLOps, causal inference, and scalable ML for scientific research.

United States

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What I'm looking for

I seek roles applying MLOps and causal/statistical modeling to scientific or healthcare problems, with collaborative teams, clear impact metrics, and opportunities to scale reproducible pipelines.

I am a data scientist with five years' experience deploying machine learning and statistical solutions across Sales, Healthcare, and Public Policy, focused on building production-ready pipelines, hybrid ML/statistical models, and actionable visualizations. I have led projects that improved predictive performance, automated large-scale preprocessing, and supported high-stakes scientific and regulatory work.

My work includes developing the nation's first statistical model detecting climate change, improving model R² and preprocessing efficiency on multi-terabyte datasets, and delivering analytic outputs used by world-leading scientists and FDA-related submissions. I combine MLOps, causal inference, and explainable AI to produce reliable, reproducible results and communicate them clearly to technical and non-technical stakeholders.

Experience

Work history, roles, and key accomplishments

Current

Research Data Scientist

Current

University of California Santa Barbara

Nov 2023 - Present (1 year 10 months)

Collaborated with faculty to build a hybrid statistical+ML model on 4TB probabilistic data, improving R² by 4% and meeting 70% of scientific benchmarks; automated pipelines for 350GB time-series data to reduce preprocessing time and deployed interactive dashboards that accelerated stakeholder feedback 3x.

Python Time Series Statistical Modeling Data Pipelines AWS Data Visualization Dashboarding Model Evaluation

Data Scientist

Nimble Clinical Research

Oct 2022 - Jul 2023 (9 months)

Developed predictive scoring tools that improved drug ranking precision by 12% and reduced experimental cycles by 30%; analyzed 10 randomized clinical trials covering 5,000+ patients and delivered statistical analyses supporting FDA submissions with reduced compliance issues.

Statistical Analysis Python SQL Reporting Quality Control

Data Scientist

Small Earth Nepal

Jan 2020 - Oct 2022 (2 years 9 months)

Built an ML pipeline with feature engineering and hyperparameter tuning that improved predictive accuracy by 7%, creating Nepal's first scalable framework for climate change research; optimized SQL pipelines and automated analytics workflows to cut manual reporting by 95%.

Python SQL Hyperparameter Tuning AWS Time Series