Built automated ETL pipelines using Python (Pandas, NumPy) to extract, clean, and transform large volumes of healthcare data.
Designed PostgreSQL relational databases with structured schemas for customers, transactions, and operational metrics.
Ensured data consistency and accuracy through validation rules, deduplication, and type normalization across datasets.
Conducted exploratory data analysis (EDA) to uncover trends in customer visits, service utilization, and operational efficiency.
Created advanced dashboards in Power BI to visualize KPIs, customer demographics, and treatment performance.
Developed complex SQL queries for data aggregation, anomaly detection, and business reporting.
Collaborated with business and clinical teams to translate requirements into data-driven solutions.
Resolved data mismatches and optimized database joins using logical merge strategies and indexing techniques.
Delivered clear, actionable insights through visual presentations and structured reporting documentation.
Developed and integrated RESTful APIs for seamless data exchange between systems.
Designed and deployed n8n-based chatbots to automate customer queries.
Implemented workflow automations for SMS and email notifications (payment, status, onboarding).
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