Data Scientist

Freelance Data Scientist

My own projects:

• AutoML App Suite: I developed an AutoML App Suite consisting of three apps: AutoTS, AutoAD, and AutoCS. AutoTS is a one-click tool for univariate time series modeling and forecasting using state-of-the-art algorithms. AutoAD is a one-click tool for anomaly detection in both univariate and multivariate datasets using advanced algorithms. AutoCS is a one-click tool for customer success that automatically calculates, models, and generates RFM, CLTV, Market Basket Analysis, and Customer Churn models from just invoice data. These apps provide efficient and effective solutions for businesses looking to extract valuable insights from their data.
• TradeslyPro: I developed and maintained the roboadvisor app TradeslyPro (web and Android), which utilizes advanced machine learning models to provide users with market insights and predictions.

Data Scientist

• Led the design and development of software architectures for ML applications, leading to efficient solutions
• Conducted extensive research to identify and construct unique statistical and explainable ML models for stock and cryptocurrency markets, resulting in the successful development and testing of financial indicators and strategies for Turkish financial instruments
• Built and maintained trading decision support systems for individual traders, enabling profitable trading decisions
• Conducted research and developed unique statistical and explainable ML models for R&D projects funded by KOSGEB and Tubitak, contributing to significant progress in project goals

Freelance Data Scientist

• Designed and developed end-to-end ML-based applications and dashboards, improving decision-making for clients
• Created a range of ML applications for decision support, including clustering, text summarization, anomaly detection, and process mining tasks, enhancing data insights and business performance for clients performance for clients

Data Scientist

• Contributed as a backend engineer on ML products, resulting in improved product performance and reliability
• Implemented Bayesian hyperparameter optimization, increasing model accuracy and efficiency
• Developed multiple manifold learning and metric learning algorithms, expanding model capabilities
• Conducted literature research for Tubitak-funded R&D projects, gaining a thorough understanding of current research and advancements in the field

Software Engineer

• Worked as a backend developer on financial software products for BIST
• Resolved complex software issues through in-depth analysis and troubleshooting, resulting in significant improvements in product performance and reliability
• Increased efficiency by developing automation scripts for testing and routine tasks, reducing development, maintenance, and monitoring time
• Ensured the delivery of high-quality products by conducting thorough manual and automated testing procedures
• Designed and developed a chatbot within a financial software product, enabling users to effortlessly manage their investments, optimize positions, and execute trades

Freelance Statistician

Conduct data analysis and statistical modeling for clients