Bursa, Türkiye
As an Industrial Engineer with a strong foundation in Data Analytics, Business Intelligence, and Process Optimization, I am building my expertise in transforming complex datasets into actionable insights that support operational excellence. My experience spans developing interactive Microsoft Power BI dashboards, integrating SQL pipelines, and leveraging Python-based optimization models to enhance production planning, quality assurance, and decision-making processes. I have worked on advanced machine learning, NLP, and predictive analytics projects, applying data-driven insights to optimize workflows and improve KPI performance. Passionate about innovation and continuous improvement, I aim to bridge the gap between data and strategic decisions, creating impactful solutions that elevate organizational performance.
• Developed and maintained Power BI dashboards to track calibration data, improving visibility of key quality metrics. • Performed data analysis on customer complaints, identifying recurring patterns and providing insights to support problem-solving and decision-making. • Supported the digitalization of corrective and preventive action (CAPA) processes, ensuring data accuracy and better traceability across teams. • Assisted in preparing KPI-focused reports and dashboards for management, enabling data-driven performance monitoring.
• Developed interactive Power BI dashboards by integrating and transforming production data, enabling real-time KPI monitoring and reducing manual reporting workload. • Applied SQL queries and ERP modules (MRP, BOM, product routing) to analyze workflows, supporting data-driven material planning and improving on-time material availability. • Automated weekly MRP runs and shortage tracking, which helped reduce procurement delays by approximately 25%. • Conducted monthly capacity and resource utilization analysis, delivering insights that supported efficiency improvements across production planning. • Prepared and presented analytical reports and executive summaries, strengthening cross-functional communication and supporting informed decision-making.
• Developed a Python-based optimization model (Gurobi) to automate railway shift scheduling, improving efficiency and reducing manual planning workload. • Created Power BI dashboards to monitor product transportation across refineries, enhancing visibility and supporting data-driven logistics decisions. • Conducted a stock management analysis project, delivering recommendations to improve material availability and reduce stockout risks.
• Applied machine learning algorithms to real-world datasets, supporting predictive analytics projects. • Performed data preparation, cleaning, and exploratory analysis in Python on large datasets, ensuring quality and reliability for modeling. • Built Python-based visualizations to highlight trends and patterns, helping stakeholders interpret results and make informed decisions.