Working on a pilot project (dark store for Tier 2-3 cities) for early delivery of goods and better customer experience and now covering 20% more touch-points on same cost through MetaBase, Postgrees and Python for auto-scheduling of Jobs.

Defined KPIs for newly launch pilot project (result was - we're able to serve more customers at same cost with early delivery)

Clearing all dues of defaultors (after 1 yearof warning and running multiple offer campaigns)

find out reasons for least performing branch based on YOY revenue

For NBFC Client : Ingested data from all incoming sources like digital platforms (Fb, Insta, Website, LinkedIn), Offline mode and other apps (partners app) and internal processing sources (CRM, Dialer, Sales App, Disbursement System, Collection App and Feedback system) into Hive Data warehouse through ELT technology provided by Sprinkle Data, first into Data Lake then into Hive Data warehouse - defined fact tables, dimension tables and setup the pipeline, so that end-user never get effected and make the decision on a particular stage where most churn/burn happens