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Antalya, Turkey

Barselona, Katalonya, İspanya

- Developing a subscription-based product that provides AI and algorithm-driven trading signals for retail investors, guaranteeing a minimum of 10% monthly yield based on backtest results.- Joined as an intern and transitioned to a full-time Machine Learning Engineer role, tasked with transforming the monolithic ML pipeline into a scalable, microservice-based architecture.- Led the redesign of the ML pipeline into 15 microservices, deployed via Kubernetes and Docker on Exoscale Cloud, resulting in a 30% improvement in prediction accuracy and a significant reduction in cloud costs through efficient resource allocation.- Implemented features such as hyperparameter tuning using the Optuna framework, advanced error correction techniques for time series models, and additional model architectures, contributing to the system's scalability and accuracy.- Developed an MLOps tool automating model development for different assets and cases, significantly streamlining processes for the team.- Reduced operational costs by implementing dynamic creation and deletion of GPU node pools during model training, ensuring GPU machines were used only when needed.

Barselona, Katalonya, İspanya

Antalya, Türkiye

• Developing a pipeline that can extract data from Meta Marketing Insights API on a daily, weekly, and monthly basis and store in a MySQL database.• Developing an API with Flask framework for providing relevant statistics for marketing analytics like cost per action, cost per click, conversions, click-through rates etc. • To visualize the statistics, created an interactive web dashboard with using Bootstrap and JavaScript that displays KPIs and graphics.

New Hampshire, Birleşik Devletler

Lisans Derecesi, Yönetim Bilişim Sistemleri

Lisans, Management Information Systems, Erasmus+