Expert Data Engineer Enhancing Healthcare Analytics Pipelines

Expert Data Engineer Enhancing Healthcare Analytics PipelinesExpert Data Engineer Enhancing Healthcare Analytics Pipelines

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Karan Krishnani

• 1d

Embedded as a senior data and platform engineer supporting healthcare quality measurement and analytics initiatives. Improved the implementation and design of scalable ingestion and measure-calculation pipelines for clinical and claims data, working closely with the client and data architect.

Data Engineering Data Analysis Quality Assurance Engineering Databricks Python SQL

Sushmita Yadav

• Mar 20

Customer churn is a silent challenge that affects long-term growth, customer loyalty, and overall business stability. This dashboard is designed to uncover patterns behind why customers choose to leave.

• Focuses on identifying high-risk customer segments across different demographics and behaviors • Highlights the impact of customer engagement and product usage on retention • Explores how financial attributes influence customer decisions • Emphasizes the importance of segment-based retention strategies

This dashboard shows that retention is not just about keeping customers, but about understanding their journey and addressing the gaps.

Reducing churn starts with asking the right questions and letting data guide the answers.

#powerbi #customerchurnanalysis

Data Analysis Microsoft Excel Microsoft Power BI SQL

Geethasree Naguboina

pro

• Mar 23

Segmenting churn risk by credit score band alongside geography and product count in one dashboard is really powerful — it moves the conversation from 'how many customers left' to 'which customers are most likely to leave next and why.' The insight about customers with 2 products...