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
💻 Workflow Data For Github Actions & Linux Server Testing of Lockdown Enterprise Content 💻
Data-driven computer-aided molecular and process design
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
A hybrid modeling framework combining neural networks with physics-based constraints for bioreactor process optimization and control.
💻 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.
Evaluación de KPIs y rendimiento operativo para identificar áreas de mejora en servicios de telecomunicaciones.
Strategic framework for digital transformation in multi-national manufacturing. designed for conservative organizations
Anki Flashcards for 3rd Year Courses
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.
A High Distinction (HD) project focused on Enterprise Architecture design, BPMN 2.0 process modeling, and system performance optimization for complex service ecosystems.
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
This presents my portfolio of services and skills.
AI-assisted LaTeX SOPMs & FAQs → 75% decrease in time addressing stakeholder inquiries
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.
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.
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