customer-360

Deterministic identity-resolution engine in TypeScript: Zod-validated handlers, mocked deps, and a CLI that mirrors the future HTTP API.

Build the engagement layer once: one Microsoft Foundry agent in Teams acts across Salesforce, ServiceNow and your other systems of record, always as the signed-in user. Open-source reference implementation (APIM identity propagation, MCP meta-tools, azd).

End-to-end Customer 360 analytics platform with SQL, Python, ML, SHAP, and Streamlit for customer segmentation, churn risk prediction, health scoring, and revenue action planning.

Entify is an early open-source workspace for entity resolution, record linkage, and data deduplication. It helps teams profile messy datasets, configure Splink-powered matching workflows, and review explainable match clusters.

Customer 360 Data Engineering Pipeline on GCP using BigQuery, Dataform, and Looker Studio.

End-to-end banking data engineering project using Python, SQLite, SQL, PySpark, and Dagster. Includes ETL pipelines, data validation, relational modelling, incremental loading, analytics, medallion architecture, and a Customer 360 data product with a read-only HTTP API.

Integration patterns for Salesforce Data Cloud and SFMC to activate near-real-time customer journeys.

Customer 360 MVP with Python, PostgreSQL, Salesforce CRM, and Salesforce Data Cloud Identity Resolution.

Customer 360 churn demo on Microsoft Fabric - behaviour-derived churn, Lakehouse + Direct Lake semantic model + ontology/graph + dual-source Data Agent. Fully config-driven and idempotent.

A governed AI-powered Customer 360 data product demonstrating data engineering, RAG, agentic AI, enterprise architecture and governance-by-design.

Comprehensive Retail Analytics project containing the full data lineage (Bronze/Silver/Gold CSVs), SQL transformation scripts, and Customer 360 reporting logic.

Customer 360° Banking Analytics platform for customer insights, product opportunity scoring, and Next Best Product recommendations using Python, Power BI, and data analytics.

Reproducible health-insurance Member 360 lakehouse with identity resolution, governed serving, hybrid retrieval, and grounded AI.

An end-to-end Customer Behavior (Customer 360) Analysis built with Python, merging 9 datasets to uncover insights on revenue concentration, marketing performance, and customer risk.

Sync customer intelligence from a warehouse like Snowflake into operational customer profiles, compute rule-based segment membership, and activate (push) those profiles to downstream targets — all from one consistent, idempotent pipeline keyed on customer_key.

Customer intelligence and Reverse ETL platform that turns Mandera commerce data into segmentation, Customer 360, and holiday-aware campaign recommendations, syncing insights into Monday CRM.

End-to-end Customer 360 and revenue analytics project using SQL, Python, Power BI, DAX, forecasting, cohort/RFM analysis, experimentation and marketing analytics on GA4 e-commerce data.

Production-ready Customer 360 Analytics Lakehouse built with Apache Spark, Delta Lake, MinIO, DuckDB, dbt, Docker, and Power BI.

AI agent for aggregating omnichannel customer data into a single customer view, built with Agentic Star.

Snowflake-backed Customer 360 and Next Best Action prototype for lending: cited evidence, policy gates, hardship handoff, onboarding and versioned source imports.