Data scientist and quantitative researcher with expertise in machine learning, statistics, and quantitative investments. Recognized for developing innovative models and algorithms to drive actionable insights and improve forecasting accuracy. Published author in Physical Rev. E with a strong track record in research.
Skills
• High level of precision
• Analytical and problem-solving skills
• Visionary
• Soft leader
• Hands-on mentality
• Data Analytics
• Machine learning algorithms
• Time Series
• Programming languages: Python, R, SQL
• Python libraries: Pandas, Scikit-learn, SciPy, StatsModels, NumPy
• Platforms and tools: AWS, Google Cloud Platform, Google Looker, Airflow, TeamCity, Jira
https://www.kaggle.com/terranx
https://github.com/oncukayalar