Daniel Delavari

Background

About Daniel Delavari

Passionate Process Engineer with +8 years of experience in operational excellence, optimization, continuous improvement, data analysis, and project management in both continuous and high-volume manufacturing environment. I am completely familiar with the manufacturing process, challenges, and obstacles: I specialize in mathematical programing, optimization, Design of Experience (DOE), statistical analysis, Python programming, VBA, problem-solving, and continuous improvement. Throughout my career, I've successfully enhanced my communication skills and collaborated with cross-functional teams to design and implement innovative solutions, resulting in substantial productivity gains and cost savings. My proficiency in programming languages, statistical analysis tools, Machine Learning algorithms, and project management techniques has enabled me to effectively enhance productivity, problem-solving, and efficiency: In my recent role as a Process Engineer at IKO North America, I collaborated across maintenance, production line, and Quality Control departments to: Analyze and improve Overall Equipment Efficiency (OEE) by 8%. Reduce machinery downtime. Utilize Lean Six Sigma methodologies such as SPC, FMEA, 5why, Pareto charts, Fishbone chart, and DMAIC approach to reduce waste and improve OEE and quality. Lead center-lining project to increase machinery performance. During my tenure as an Industrial Process Manager at Aria Parts Industries, I utilized lean manufacturing tools such as Value Stream Mapping, 5S, Kaizen, and Kanban to drive a remarkable 20% reduction in waste. I am deeply committed to advancing industry practices through data-driven decision-making, innovative process design, and continuous improvement. I'm excited to connect with fellow professionals and leverage my expertise to drive continuous improvement.