manufacturing-analytics

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

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

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.

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.

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.

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.

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.

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

End-to-end BI project: SQL data mart + Python (OEE, defect PPM, supplier OTIF) + interactive Streamlit dashboard modeled on automotive manufacturing KPIs.

Semiconductor DMI yield intelligence platform for class-imbalanced defect detection, wafer-map simulation, and chamber traceback

DOE, RSM, regression, and multi-objective optimization of 3D printing parameters for lightweight and high-strength UAV parts

raw material demand forecasting and supply chain optimization dashboard for industrial operations.

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

Safety-first Gemini-powered CLI for evidence-backed analysis of industrial orders, machine utilization, and inventory, with an offline demo and sandboxed code execution.

Manufacturing analytics portfolio investigating toothbrush factory inefficiencies. Features root-cause modeling (OEE) and interactive Power BI dashboards.

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

Semiconductor fab yield prediction from 590 sensors under 6.6% failure imbalance — 86% FAIL recall, per-wafer SHAP root-cause, leakage-safe pipeline

Outdoor inventory intelligence operations prototype with fictional demo data.