A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey
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Aug 24, 2023 - Python
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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
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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.
Research on leveraging reinforcement learning to optimize bioprocess parameters and improve efficiency in biological systems.
Evidence Based Decisions Using Big Data Analytics
This presents my portfolio of services and skills.
A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.
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A curated collection of custom business tools developed by Pablo Hacker using Python and VBA. Designed to streamline operations, automate repetitive tasks, and enable data-driven decision-making in procurement, logistics, and supply chain management.
Multi-objective Bayesian optimization for physical experiments with Ax.
Advanced Chemical Process Simulation and Optimisation Framework. Overview: This enhanced project provides a sophisticated framework for simulating and optimising chemical processes.
Computer-aided molecular and process design using Bayesian optimization
Examining a hospital's data by applying various filters to the data and interpreting the statistical results using Disco software, identifying problems in the process, designing new processes that will increase efficiency and drawing the flowchart of new process designed with Microsoft Visio.
A Python project implementing polynomial regression to analyse and predict manufacturing-related data. Features include data preprocessing, model training, and visualisation of results. Ideal for exploring machine learning applications in manufacturing process optimisation.
Generative AI-based system for simulating industrial processes, enabling predictive maintenance, process optimization, and energy efficiency using GANs and IoT sensor integration
Optimizing the sales proposal process using Six Sigma DMAIC methodology to reduce cycle time, defects, and inefficiencies.
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