📊 Projects #

🏥 Enhancing Healthcare Delivery Through Advanced EMR Integration #

Role: Healthcare Data Scientist / Full-Stack Analytics Developer
Technologies: MySQL, Node.js, React.js, Express.js, HTML, CSS, ICD-11

• Designed and developed a full-stack Electronic Medical Records (EMR) platform with a strong focus on analytics-ready clinical data capture and downstream decision support.
• Built normalized relational databases in MySQL and engineered structured schemas to support patient registration, pathology records, medication history, and longitudinal analysis.
• Developed interactive front-end workflows using React.js and Node.js, enabling real-time data entry, search, updates, and cohort-style patient retrieval.
• Implemented ICD-11–aligned clinical documentation, improving standardization, interoperability, and readiness for analytics and reporting.
• Optimized internal search logic and query performance, significantly improving data retrieval accuracy and system responsiveness.
• Diagnosed and resolved backend system issues (plugin errors, authentication compatibility, PID file failures), improving platform stability, reliability, and usability.
• Laid the foundation for AI-enabled modules by structuring clean, high-quality clinical datasets suitable for future predictive modeling and population health analytics.

Data Science Focus: