Computer Vision Counter - is a feature for counting objects on video, mainly aimed at manufacturing enterprises.
an open concept and methodology for edge-based data processing in manufacturing.
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.
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.
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).
SQL & Tableau manufacturing analytics project comparing rule-based diagnostic modeling vs leakage-safe predictive risk modeling using the AI4I 2020 dataset.
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.
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.
Toyota Production Analytics Dashboard using Excel VBA to simulate Lean manufacturing analytics, production monitoring, defect analysis, and automated factory KPI reporting.
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.
Power BI dashboard analyzing Plant Co.’s Sales, Quantity & Gross Profit with YTD vs PYTD insights.
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.
End-to-end BI project: SQL data mart + Python (OEE, defect PPM, supplier OTIF) + interactive Streamlit dashboard modeled on automotive manufacturing KPIs.
An AI-powered predictive maintenance project for IoT devices that uses simulated sensor data, machine learning, and real-time API inference to predict equipment failures and support maintenance decisions
DOE, RSM, regression, and multi-objective optimization of 3D printing parameters for lightweight and high-strength UAV parts
Manufacturing analytics portfolio investigating toothbrush factory inefficiencies. Features root-cause modeling (OEE) and interactive Power BI dashboards.
Semiconductor DMI yield intelligence platform for class-imbalanced defect detection, wafer-map simulation, and chamber traceback
Production performance and quality analysis project using SQL, Power Query, Power BI, and DAX. Includes data cleaning, KPI analysis, downtime analysis, and an interactive management dashboard based on synthetic automotive manufacturing data.
AI-assisted manufacturing operations recovery and disruption simulation platform using synthetic defense-oriented production data.
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