Istanbul, Türkiye
Data Scientist with a strong mathematical foundation and over 5 years of hands-on experience in data processing, model development, and deployment. Expert in leveraging advanced data mining algorithms to solve complex business challenges. Consistently involved in projects from end to end — from initial data collection and preprocessing, through model development and evaluation, to A/B testing, deployment and delivering actionable insights to stakeholders. Being part of each stage has helped me build a solid understanding of both the technical work and how it connects to business needs. Proficient in a wide range of areas including forecasting, optimization, recommendation systems, churn analysis, customer segmentation, NLP, image processing, generative AI, large language models (LLMs), statistical analysis, and machine learning algorithms. Skilled in programming languages such as Python and SQL, with additional experience in SAS and SPSS Modeler. Familiar with both front-end and back-end development using Flask, HTML, CSS, JavaScript, and jQuery. Experienced with cloud platforms including AWS and Azure, as well as project management and version control tools such as Jira and GitHub. A collaborative and proactive team player with a strong drive for excellence, a quick learner, and a self-motivated professional committed to continuous learning and skill development.
- Developed and led end-to-end AI, ML, and advanced analytics projects across multiple business units, delivering scalable solutions in: • Demand forecasting (improved accuracy through advanced time series and ML models) • Optimization (vehicle routing, resource allocation, cost reduction) • Customer and product segmentation for strategic decision-making • Anomaly detection for predictive maintenance and fraud detections • Image processing using CNN-based architectures for manufacturing-quality analysis • NLP and LLM-based applications, including risk detection and enterprise chatbot systems - Co-author publications on CNN-based image analysis and HR analytics-driven turnover prediction. - Mentored junior data scientists and interns.
- Developed AI, ML, and advanced analytics projects across multiple business units, delivering scalable solutions in: • Demand forecasting (improved accuracy through advanced time series and ML models) • Optimization (vehicle routing, resource allocation, cost reduction) • Customer and product segmentation for strategic decision-making • Anomaly detection for predictive maintenance and fraud detections - Developed and deployed web-based interfaces to enhance stakeholder engagement and support the effective use of data-driven solutions. - Leveraging analytical tools such as SAS and SPSS Modeler where needed.
- Collaborated in a cross-disciplinary student team to develop an innovative project aligned with Sustainable Development Goals, applying practical solutions considering all the possibilities within Tüpraş.
- Developed enterprise resource planning (ERP) and customer relationship management (CRM) software modules using Odoo (OpenERP) platform, enhancing internal business management processes.
- Designed and implemented a desktop library automation system in C#.