Istanbul, Türkiye
• Languages practiced with Python, T-SQL, PL/SQL, NoSQL • Skilled in data science libraries: Pandas, NumPy, Matplotlib, Seaborn, BeautifulSoup, Selenium, Scikit-learn, PyTorch • Experience in ML algorithms: Gradient Boosting algorithms, BERT, Random Forest, Logistic Regression, Time Series Analysis, SVM, KNN • Worked on generative AI projects: OpenAI, Claude, LangChain • Experience with SQL databases: Oracle, Google BigQuery, PostgreSQL, SQL Server • Knowledge of NoSQL databases: MongoDB, Apache Solr • Knowledge of vector databases: Qdrant • Experienced in containerization and orchestration tools: Docker, Kubernetes https://ulasarikaya.medium.com https://www.hackerrank.com/ulasarikaya https://github.com/ulasarikaya https://www.kaggle.com/ulasarikaya
• Deploying state-of-the-art deep learning models for text classification tasks (e.g., sentiment analysis, topic classification, emotion, and intent detection) in a multilingual setting for production • Strong understanding of ML project pipelines, including data processing, model training, and testing • Responsible for maintaining and managing the backend Python codebase • Researching, implementing, and staying up-to-date on cutting-edge algorithms, architectures, and methodologies for generative AI applications • Building end-to-end MLOps pipelines using Azure Cloud Platform and container orchestration tools (Docker, Kubernetes) to streamline model deployment and monitoring • Leveraging Python and SQL for data manipulation, analysis, and end-to-end model development across diverse machine learning workflows
• Implementation and evaluation processes of cutting-edge machine learning algorithms over text and unstructured data • Managing internal and external data annotation teams • Enhancing data collection procedures including enrichment with external data source • Support the entire project life cycle in terms of data quality and management
• Data Warehouse and Business Intelligence Analyst • Data mining in BKM datawarehouse and producing high added value sectoral reports • Monitoring data quality of BKM datawarehouse consist of card payments transactions from member banks • Regular reporting to board of directors, regulatory authorities, member banks, other major players in the industry • Forming “use cases” in order to ensure members’ utilization of datawarehouse • Regular research studies in order to understand behaviors of cardholders • Gathering, controlling and publishing monthly consolidated market statistics • Preparing presentations, market trends analysis, articles, press releases, regular research studies • Gathering of new payment methods data (contactless, QR code, NFC etc.) and creating sectoral reports
• Understand and translate requirements into business and technology solutions • Capture user requirements • Modelling Enterpriese Data Warehouse • Prepares source-to-target mapping analysis document which is include table & columns model content and SQL queries • Develop and implement quality business solutions for the business units • Analyze as-is and to-be-proceseses to define system/technology requirements • Deliver quality functional/application designs and ensure technology solutions represent current and future business requirements Topics of the projects I have done analysis and data modeling ; • Retail and SME Customer Status • Reporting of card and pos sales from tablet • Reporting housebank information of retail and SME customers • Product activity and ownership of retail customers • Reporting of Digital OnBoarding process applications • Q-matic • Project of customer segmentation change