data-reconciliation

自然语言驱动的自动化 SQL 对账系统 — 基于 HelloAgents 多 Agent 框架 · ReAct 推理 · NL2SQL

[ARCHIVED] A story-driven AI system demonstrating data reconciliation through a cyberpunk animated universe. — SSL v3.0

Local-first CLI for semantic data reconciliation with YAML rules and JSON reports.

Digital Scriptorium OpenRefine documentation and JSON recipes for data reconciliation

Core Revenue Assurance (RA) project simulating, detecting, and diagnosing critical network-to-billing revenue leakage for Safaricom Telecommunications Ethiopia PLC.

Public data pipeline with FastAPI, Celery, and PostgreSQL for collecting, normalizing (Bronze/Silver/Gold), and reconciling financial data from Jundiaí/SP.

Deterministic evidence-domain core for California onsite nonpotable water reuse (OTNWS) programs under 22 CCR 60606: governed CSV normalization, cross-source reconciliation, frozen report drafts, unsigned receipts. Synthetic fixtures only. Shares its reconciliation layer with sibling project reuseproof-ca; canonical copy undecided.

Human-in-the-loop Applied AI case study for multi-source crypto/VDA reconciliation, traceability, exception handling, and synthetic validation.

55 published n8n workflow templates: fraud screening, CSV reconciliation, deadline calculation, approval gates, SLA audits, and grounded RAG drafting. Deterministic rules, audit logs, human review before anything sends.

Industrial data reconciliation platform using Lagrange Multipliers and statistical validation

🍺 End-to-end B2B EDI Supply Chain Transformation Portfolio in Python & SQL. Features ANSI X12 (850, 856, 810) payload reconciliation against SAP staging, real-time exception monitoring with SLA tracking, and partner migration ETL pipelines with Colab support.

Reconcile company fundamentals from EODHD and FMP into one schema and see exactly where the two vendors disagree. Hand-curated 71-field mapping, configurable vendor priority, and a Streamlit dashboard.

This is the repository for my Final Year Project, part of my BEng degree.

[Moved to warehouse-ai-lab/claude-ops-toolkit] AI-assisted ERP+WMS ops toolkit: Claude Code diagnostic skills + always-on Windows Task Scheduler monitors with Slack alerts (sanitized reference).

Data reconciliation and exception operations platform with tolerance matching, review workflows, and audit-ready exports.

Three-tier migration reconciler: row counts, order-insensitive column checksums, and exact DECIMAL business aggregates, with checksum-bisection drill-down to the exact divergent rows. Clean 5M-row pair verified in 0.55s; 1,000 divergent rows localized in 18 grouped probes without transferring tables.

Declarative data-reconciliation engine in Go — exact→tolerance→fuzzy→ML cascade matching, audit trail, React workbench. Self-hosted & deterministic.

Open-source multi-tenant data reconciliation platform. .NET 10, PostgreSQL, React 19, Entra ID, durable ingestion with retry/DLQ and evidence-backed operator review.

Protected evaluation toolkit for COBOL copybook analysis, EBCDIC conversion, packed decimal conversion and legacy/mainframe data reconciliation.

An autonomous e-commerce diagnostic agent using Amazon Bedrock Agents and Action Groups. Diagnoses product sellability issues, reconciles data across Inventory, Pricing and PIM systems, and triggers self-healing synchronization via AWS Lambda and Serverless Framework.