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

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

Data-driven computer-aided molecular and process design

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

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.

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.

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

Evaluación de KPIs y rendimiento operativo para identificar áreas de mejora en servicios de telecomunicaciones.

End-to-end ML pipeline for the esterification process yield prediction and optimization using neural networks.

A High Distinction (HD) project focused on Enterprise Architecture design, BPMN 2.0 process modeling, and system performance optimization for complex service ecosystems.

Anki Flashcards for 3rd Year Courses

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

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

Evidence Based Decisions Using Big Data Analytics

Data-driven optimization of Teradyne’s excess inventory approval process using Python, lead-time adjusted demand modeling, and financial risk analysis to improve capital efficiency and reduce excess spend.

This presents my portfolio of services and skills.

AI-assisted LaTeX SOPMs & FAQs → 75% decrease in time addressing stakeholder inquiries

This repository contains machine learning models for predicting the degree of SiO2 extraction from iron ore tailings using aqueous solution of ammonium bifluoride (NH4HF2). The prediction models take into account three key parameters: temperature, reaction time, and NH4HF2 concentration.

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.

Yield-driven solar manufacturing capacity expansion model with capex avoidance and Monte Carlo risk simulation.

Professional workflow automation solutions and AI-driven business processes. Specializing in custom integrations, CRM automation, and no-code/low-code development to streamline operations and scale business efficiency.

Python automation tool for bulk YouTube transcript extraction | Built for CCNA study workflow

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.

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

Process mapping and analysis using Miro to design an AI-ready customer support framework, identifying automation opportunities and integration points for improved efficiency.

Lean methodologies and inventory control optimization frameworks from manufacturing experience

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

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