LIVE — try it//Architecture
Data/ML pipeline in production
Lead scoring (conversion probability): ingestion → ML → predictions + explainability, testable live.
Pipeline // data flow
01 // Context
Small businesses are swamped with inbound leads but handle them in no particular order, without knowing which ones are most likely to convert — sales time wasted on cold prospects.
02 // The challenge
Build a real end-to-end data → ML pipeline, not a throwaway notebook: ingestion, cleaning, feature engineering, model and explainability — lightweight, deterministic, testable online, with no heavy infrastructure and no per-prediction cost.
03 // Result / status
Live demo. A fixed-weight logistic regression (trained offline), scoring 100% client-side: each lead gets a conversion probability (hot/warm/cold) and the features driving its score. A 5-step pipeline revealed step by step, sortable predictions and analysis charts.