Data Analyst turning complex datasets into decisions — through SQL, Python, Power BI, and ETL pipelines across healthcare, government, and enterprise domains.
I'm a Data Analyst with a Master's in Computational Data Science from Purdue University, currently working at the State of Louisiana – TRS in Baton Rouge where I manage and analyze pension datasets at scale.
My background spans healthcare analytics at Cigna, enterprise data engineering at Cognizant, and early-career healthcare data work — giving me a rare breadth across clinical, financial, and operational domains.
I believe the best analysis isn't the most complex — it's the one that actually changes a decision. I focus on delivering insights that stakeholders can act on, not dashboards that collect dust.
I also published research on machine learning classification in the International Research Journal of Engineering and Technology (IRJET, 2022).
End-to-end ML pipeline for customer segmentation using Python and scikit-learn. Includes feature engineering, PCA dimensionality reduction, cross-validation, and pipeline optimization on a 500K+ row dataset.
Interactive Power BI dashboard with 15+ complex DAX measures tracking customer retention, revenue trends, and real-time KPIs across 3 product lines. Identified actionable churn patterns leading to measurable retention improvements.
Applied machine learning classification techniques to categorize student queries, contributing to intelligent academic support systems. Published in the International Research Journal of Engineering and Technology (IRJET), Vol. 9(3), 2022.
AI-driven Electronic Health Records optimization system built during tenure at The Cigna Group. Combined predictive modeling with automated ETL pipelines to improve clinical decision-making and reduce operational overhead.
I'm actively looking for Data Analyst roles. If you're hiring or know someone who is — let's talk.
saithanishvoore@gmail.com