Data Science Salary Prediction Platform

Job seekers lacked real-time salary benchmarks

Existing tools used stale data and simple regression models

Kafka streams live salary data at 50K records/day

Spark processes features at scale; MLflow tracks experiments

89% accuracy within $5K range on holdout set

Retraining cycle: 2 weeks → 48 hours

Sub-120ms prediction latency at p99