DATATHON 2026 FINALIST

Unleashing Data Insights
At Scale.

A demonstration of our high-performance predictive model, processing real-time telemetry to deliver actionable business intelligence.

Dataset Size

14.2 TB
2.4M new rows/day

Model Accuracy

96.4%
+3.2% vs Baseline

Inference Latency

42 ms
15ms faster than target

Live Analytics Dashboard

Interactive representations of the data outputs generated by our model during the hackathon evaluation phase.

Anomaly Detection Confidence

Categorical Distribution vs Expected

Technical Highlights

Key architectural decisions made during the 48-hour Datathon.

XGBoost Integration

Utilized gradient boosting algorithms optimized for imbalanced datasets, resulting in higher precision on outlier detection.

Real-time Pipeline

Data ingested via Kafka streams with sub-second latency, processed through a stateless microservices architecture.

Privacy Preserving

Implemented differential privacy techniques to ensure PII remains obfuscated during aggregate analytics generation.