High-Performance Scala Pipeline: Clinical AEFI Analytics

Technology Stack

Project Overview

An enterprise-grade functional big data analysis pipeline designed to process large-scale Adverse Events Following Immunization (AEFI) datasets provided by the Ministry of Health Malaysia (MoH-Malaysia). Implemented in Scala, the pipeline leverages functional programming primitives (maps, filters, folds) and high-performance collection abstractions to compute critical vaccine product distributions, side-effect densities (e.g., headache occurrences, systemic reactions), and symptom correlations across multiple injection intervals. Demonstrates robust ETL capabilities, functional statistical modeling, and data-safety auditing techniques crucial for large-scale clinical analytics and public health safety decision intelligence.