manufacturing-analytics

Computer Vision Counter - is a feature for counting objects on video, mainly aimed at manufacturing enterprises.

Cross-platform AI plugin for messy structured data analysis, statistical method planning, manufacturing analytics, and evidence-backed reports. Supports Claude Code, Codex, Cursor, OpenCode, Cline, Windsurf, GitHub Copilot, and Gemini CLI.

an open concept and methodology for edge-based data processing in manufacturing.

Plataforma de costeo, producción y rentabilidad multiusuario para fábricas de alimentos y cosméticos. Control de calidad por lote, auditoría completa, roles por equipo y reportes financieros en tiempo real

End-to-end Industrial Data Analytics project for chocolate manufacturing, integrating SQL Server Data Warehouse, ETL, Power BI, and Manufacturing Analytics.

End-to-end Power BI business intelligence project covering executive performance, sales, operations, customer insights, and workforce manpower planning.

Bronze/silver/gold pipeline in PySpark over 204,000 vehicle surface-inspection records. Data-quality gates are measured, not assumed: 11,958 injected faults, 100 % caught, zero false positives, enforced by tests. Gold layer prepares quality-assured, provenance-carrying text for LLM retrieval.

Self-serve metrics stack: dbt-style models in DuckDB + optional Prefect scheduler; builds sessions, funnel, and 7-day retention marts with exportable CSVs and charts (Superset/Metabase-ready).

Top Manufacturing Analytics Platform (Opensource) 🌟 Star if you like it! 🌟

Industrial Manufacturing Execution System (MES) developed with Python and Flask for real-time production monitoring, PLC data acquisition via Modbus TCP, and Raspberry Pi deployment.

An applied stochastic modeling engine analyzing wafer production line defect distributions, leveraging mathematical frameworks and singular value decomposition compression

Power BI dashboard analyzing Plant Co.’s Sales, Quantity & Gross Profit with YTD vs PYTD insights.

SQL & Tableau manufacturing analytics project comparing rule-based diagnostic modeling vs leakage-safe predictive risk modeling using the AI4I 2020 dataset.

Integrated Power BI dashboard combining Finance analytics and OEE monitoring to track operational performance, costs, productivity, and efficiency KPIs.

SQL, Power BI, Excel, and Tableau analysis of garment labeling production quality across 86.72M+ units, tracing a 0.90% rejection rate to one department, one operator, and three machines.

Synthetic Rapid Thermal Oxidation (RTO) semiconductor Statistical Process Control (SPC) dashboard with chamber-level fleet overlays, particle alerts, tool-health scoring, and auditable excursion review.

Personal analytics agent: retail, consumer electronics, wholesale, warehousing & production. Forecasting (SARIMA-X, XGBoost), anomaly detection, K-means, decision log with human confirmation, learning loop, voice chat

Toyota Production Analytics Dashboard using Excel VBA to simulate Lean manufacturing analytics, production monitoring, defect analysis, and automated factory KPI reporting.

Predictive-maintenance analytics case study (UCI AI4I) plus a real RUL-regression case study (NASA C-MAPSS) — evaluated ML, DuckDB SQL, SHAP, drift detection, and a live-deployed risk-ranked maintenance queue.

Manufacturing analytics portfolio project using synthetic inspection data, Python and pandas to surface final-inspection bottleneck signals and generate reproducible reports.