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

Anki Flashcards for 3rd Year Courses

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.

Evidence Based Decisions Using Big Data Analytics

This presents my portfolio of services and skills.

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

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.

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

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.

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. 🚀