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

Data-driven computer-aided molecular and process design

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

Anki Flashcards for 3rd Year Courses

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.

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

A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.

This presents my portfolio of services and skills.

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

Evidence Based Decisions Using Big Data Analytics

The prototype, CemGenie, is a Generative AI–powered platform designed to autonomously optimize cement plant operations. It integrates real-time process data from raw material handling, grinding, clinkerization, and utilities into a unified AI control layer.

Lean methodologies and inventory control optimization frameworks from manufacturing experience

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

Personal portfolio of supply chain models built with Excel and Solver during my university course at Hofstra (New York). All files created by me.

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.

Personal portfolio of service operations models and problem-solving exercises completed by Belén Llatas Beny during the course Service Operations Management at Hofstra University (New York, USA). All problem statements are academic materials provided by the instructor; all solutions were developed by me using Excel and quantitative methods.

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