Real Results, Real Impact

Challenge

Legacy data infrastructure with siloed data, 24+ hour reporting latency, and inability to personalize customer experiences in real-time.

Solution

Designed and implemented a cloud-native data platform on AWS using Kinesis, Snowflake, dbt, and Tableau. Built ETL/ELT pipelines with Airflow and integrated with marketing automation tools.

Key Results

Challenge

High rates of unplanned 30-day hospital readmissions leading to financial penalties. Existing risk identification methods were not accurate enough.

Solution

Developed a custom machine learning model using XGBoost with 200+ engineered features from EHR, claims, and nursing assessment data. Deployed via secure API integrated into the hospital's EHR system.

Key Results

Challenge

Batch-based fraud detection system with hours of delay, leading to significant financial losses and high false positive rates overwhelming investigation teams.

Solution

Architected streaming analytics platform using Apache Kafka, Flink, ScyllaDB, and Neo4j. Integrated real-time ML models for anomaly detection with sub-100ms latency.

Key Results