A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey

💻 Workflow Data For Github Actions & Linux Server Testing of Lockdown Enterprise Content 💻

Data-driven computer-aided molecular and process design

Generative AI-based system for simulating industrial processes, enabling predictive maintenance, process optimization, and energy efficiency using GANs and IoT sensor integration

This tool models and optimizes user tasks based on real-world behaviors. It transforms individual task models into unified, constraint-driven representations, using examples like Wordle to demonstrate its effectiveness. The tool visualizes task flows for better design and efficiency.

💻 Workflow Data For Github Actions & Windows Server Testing of Lockdown Enterprise Content 💻

Anki Flashcards for 3rd Year Courses

Strategic framework for digital transformation in multi-national manufacturing. designed for conservative organizations

Evidence Based Decisions Using Big Data Analytics

Reduce laboratory Turnaround Time by identifying bottlenecks across the accession → collection → receipt → analysis → verification → report workflow. Deliverables: KPI dashboard, bottleneck analysis, and optimization recommendations.

QA test case simulating AWS Support workflow automation for MFA removal. Includes bug documentation, test cases, and efficiency analysis built from SME-level experience in account security.

This presents my portfolio of services and skills.

Repositorio para los códigos de GAMS usados en el curso de Optimización de Procesos.

Docs-as-Code CV | GenAI-driven process optimization | Clarity, collaboration & continuous improvement.

Tools and methodologies for packaging design verification and process optimization - achieved 20% cost reduction

A Python web app using Streamlit & PuLP for ILP-based production scheduling. Maximizes profits by assigning products to machines, factoring in batch sizes, setup times, rates, costs, & demand. User-friendly, flexible, & ideal for manufacturing.

Optimizing the sales proposal process using Six Sigma DMAIC methodology to reduce cycle time, defects, and inefficiencies.

Q-Learning Implementation for Process Optimization A reinforcement learning project that calculates the shortest route between locations using the Q-Learning algorithm. This code demonstrates how AI can optimize processes in a simulated environment with predefined states and rewards. 🚀

Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.