Professional Overview
MSc Engineer with a strong background in high-stakes quantitative analysis and risk management. Expert in building data-driven systems to identify patterns and mitigate risks in fast-paced environments. Currently developing advanced algorithmic investment models in Python github.com/OleksanderSS/trading_project
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Designed and implemented ML pipelines for trading automation using Python
- Integrated 100+ economic indicators into flexible feature selection workflows
- Developed and compared models (FinBERT, KNN, collaborative approaches) for news
Key Achievements / KPIs
- Automated indicator parsing reduced manual feature engineering by 70%
- Improved prediction accuracy by 12% through optimized feature selection and mode
- Built scalable ML infrastructure enabling live trading model selection in real t
Education
Field of Study: Food Safety and Quality Systems
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
