A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey
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Updated
Aug 24, 2023 - Python
A comprehensive collection of mathematical tools and utilities designed to support Lean Six Sigma practitioners in their process improvement journey
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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
💻 Workflow Data For Github Actions & Windows Server Testing of Lockdown Enterprise Content 💻
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.
Anki Flashcards for 3rd Year Courses
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.
This presents my portfolio of services and skills.
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.
Docs-as-Code CV | GenAI-driven process optimization | Clarity, collaboration & continuous improvement.
Repositorio para los códigos de GAMS usados en el curso de Optimización de Procesos.
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.
AI-assisted LaTeX SOPMs & FAQs → 75% decrease in time addressing stakeholder inquiries
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.
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