Istanbul, Istanbul, Türkiye
As a Data Scientist with a strong foundation in machine learning, analytics, and data-driven decision-making, I have developed and optimized solutions across various industries, including insurance, banking, and retail. I specialize in creating and deploying machine learning models, improving operational efficiency, and delivering actionable insights through advanced analytics. At Linktera, I focus on building machine learning models for insurance companies using SAS Viya, SAS Dynamic Actuarial Modelling, and SAS Fraud to enhance actuarial processes and fraud detection. I have successfully designed automated workflows in SAS Intelligent Decisioning, enabling real-time, data-driven decision-making for improved business outcomes. Additionally, I leverage SAS IFRS 17 tools to support regulatory requirements and enhance insurance company frameworks. In my role at AIMS AI, I implemented CRM strategies for financial products, including personal loans, credit cards, and mortgages, boosting customer engagement. I have experience in customer churn and product tendency analysis, which has driven strategic improvements in decision-making and retention strategies. I also led end-to-end projects optimizing portfolio targeting strategies for banking employees and ensured data accuracy through IBM SPSS Modeler and ETL processes with SQL and Oracle SQL. While working at RNV AI, I developed a machine learning-based product to predict stock requirements for retail stores, optimizing inventory levels and reducing stockouts. I orchestrated data pipelines using Apache Airflow, performed product segmentation analysis, and leveraged sales data to enhance marketing strategies. Additionally, I ensured seamless database transitions and improved data accuracy by handling MS SQL and PostgreSQL migrations. With a solid technical skill set including machine learning, data pipelines, ETL processes, and cloud-based solutions like AWS, I continuously strive to contribute to data-driven transformations, delivering scalable and impactful solutions across industries.
• Implemented Analytic Customer Relationship Management (CRM) strategies for various financial products, including personal loans, credit cards, overdraft accounts, mortgage loans, and insurance, to enhance customer engagement. • Conducted product tendency analysis and developed customer churn models for banking customers, driving improved decision-making and retention strategies. • Led an end-to-end analytical portfolio targeting project, optimizing strategies for banking employees and aligning goals with organizational objectives. • Utilized IBM SPSS Modeler for efficient ETL processes in collaboration with a leading public bank in Turkey, ensuring data accuracy and integrity. • Executed database migration tasks using SQL and Oracle SQL, focusing on data verification, code conversion, and monitoring extensive datasets of banking customer information.
• Developed and controlled a machine learning-based product to predict stock requirements for each retail store, ensuring optimal inventory levels and reducing stockouts. • Orchestrated scheduling and data pipeline workflows for machine learning systems using Apache Airflow, ensuring timely and efficient data processing. • Performed product segmentation analysis to identify key customer and product categories, improving targeted marketing strategies. • Analyzed transactional sales data using basket analysis, uncovering customer purchase patterns and cross-selling opportunities. • Conducted life cycle analysis of product performance and lifetime, driving insights into product success and retention strategies. • Conducted data quality control, converted stored procedure code between MS SQL and PostgreSQL, and managed data migration and ETL processes for retail company databases, ensuring seamless database transitions and optimizing data accuracy and system integration.
Assisting in the "IE 104 Computational Methods for Industrial Engineering" course. Helped the computer lab students with Microsoft Excel to explain the subjects during the course time.
Assisting in the "ECON 337 R Programming for Social Sciences" course. Helped the computer lab students with R programming language to explain the subjects during the course. Organize Office hours before Exams and Assignments for Students.
Use of Machine Learning Models in Time series Anomaly Detection with Python Developing LSTM Network with Python Data Visualization and Analysis with Python
Norm Staff Measurement Process Mapping Daily Microsoft Programs Automations