Poojitha Kodati

I’m an AI Data Analyst with 3+ years of experience turning complex datasets into actionable insights. I focus on predictive modeling, ETL pipelines, data modeling, and dashboard development that support faster, better decision-making.

At Oracle Health, I developed predictive models (Python, SQL, Machine Learning) that improved patient risk prediction accuracy by 18%, enabling earlier clinical intervention. I also built automated dashboards in Power BI and Tableau, reducing manual reporting time by 35% while enabling real-time monitoring of hospital operational and patient metrics.

Before that, I supported multiple client engagements at Capgemini by designing and optimizing SQL for large datasets, creating interactive dashboards in Tableau and Power BI, and improving data accuracy through data cleaning and transformation.

I started as a Junior Data Analyst at eClerx, where I processed and validated structured datasets, assisted with dashboard creation, and strengthened reporting quality through careful checks and documentation. I work in a stakeholder-driven, Agile environment—translating requirements into reliable analytics that teams can act on.