I bridge the gap between Industrial Engineering and Advanced Data Science. With over 4 years of experience in the automotive industry, I focus on system optimization, intelligent production planning, and building scalable data-driven solutions.

Currently serving as the Head of Production Planning, I lead teams and strategies to optimize production flows. My career progression reflects a deep commitment to operational excellence:

• Head of Production Planning (1 Year): Leading strategic planning, KPI-driven management, and process systemization.
• Production Planning & Inventory Control Expert (1.5 Years): Focused on material flow, inventory optimization, and supply chain efficiency.
• Production Planning Specialist (1.5 Years): Built foundational expertise in production scheduling and manufacturing processes.

Domain Expertise:

• APQP (Advanced Product Quality Planning)
• Process Mapping & Optimization
• KPI & Performance Management
• System Design & Industrial Process Engineering

I specialize in translating complex real-world industrial challenges into algorithmic solutions.

• Graph Theory: Pathfinding & routing (A*, Dijkstra, Bellman-Ford, BFS, DFS).
• Optimization Algorithms: Meta-heuristics including Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) for hyperparameter tuning and complex system optimization.

• Machine Learning: End-to-end pipelines from Exploratory Data Analysis (EDA) and preprocessing to model deployment.
• Deep Learning: Neural Network architecture and implementation, with a focus on Convolutional Neural Networks (CNNs).

• Python Ecosystem: Strong expertise in Pandas, NumPy, Matplotlib for data science.
• Web Development: Building interactive dashboards for industrial monitoring using Python, HTML, CSS, JavaScript, and Bootstrap.
• Mobile Development: Experienced in Java; proficient in Kotlin for mobile applications.

I am dedicated to Industry 4.0 principles, specifically:

• Applying Machine Learning to production demand forecasting.
• Using Graph Algorithms for logistics and facility layout optimization.
• Automating manual decision-making processes through intelligent software tools.

I am actively migrating my industrial projects to GitHub. My work showcases:

• Production Dashboards: Turning raw operational data into actionable management insights.
• Optimization Projects: Applying Python-based algorithms to solve real-world scheduling and routing problems.
• Web & Mobile Apps: Developing custom tools to support production control and reporting.

• GitHub: @rezajediyatmonfared
• Focus: Optimization | Production Analytics | Data Science

“I don't just manage systems; I optimize them through code and data.”