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ardanmorgul

Ardan M.

@ardanmorgul

Python and Excel Automation Production Planning and Supply Chain Optimization

Turkey
English, Turkish, Russian
About me
Production Planning Executive at Aytaç Gıda, part of Yıldız Holding. I specialize in production planning, supply chain optimization, Python automation, forecasting, and AI-assisted decision systems. I design practical optimization tools for real operational problems, combining ERP data, mathematical modeling, and automation. I was selected as a Falling Walls Lab Türkiye finalist, and my independent research on entropy-aware Bayesian decision-making was reviewed by Harvard Data Science Review. https://www.linkedin.com/in/ardanmorgul/... Read more

Skills

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ardanmorgul
Ardan M.
Offline • 
Average response time: 1 hour

See my services

Desktop Applications
I will optimize your production planning and scheduling with python
From$35 / projectMore details
Automations
I will automate your excel tasks and workflows with python
From$25 / projectMore details

Portfolio

Work experience

Yıldız_Holding

Production Planning & Digital Projects Executive

Yıldız Holding • Full-time

Oct 2022 - Present • 3 yrs 11 mos

– Lead weekly production plans, daily packaging plans and weekly maintenance plans across product groups, aligning demand, factory capacity, material availability and operational constraints with executable manufacturing schedules. – Designed and deployed an AI Planning Platform built on 40,000+ lines of Python code and a fully local GPT/LLM layer, establishing a secure in-house planning intelligence backbone with no external data exposure. – Reduced weekly production and packaging planning cycle time from 4–5 hours to under 20 seconds by integrating production bottlenecks, packaging line and labour availability, MRP constraints, supplier lead times, setup times and stock targets into one planning engine. – Built an agent-based architecture that synchronises production, packaging, MRP and capacity decisions, explains why products are produced or postponed, and supports rapid what-if scenario analysis through an AI assistant. – Integrated the Entropic Bayes approach presented at Falling Walls Lab into the fermentation forecasting module to improve packaging-readiness estimation and reduce shipment-side waiting.