Олександр

Oleksandr Dovhulia
AI / ML Engineer & Quantitative Analyst

Location: Kyiv, Ukraine (Remote) Email: [открыть контакты](см. выше в блоке «контактная информация») | LinkedIn:
Oleksandr Dovhulia | LinkedIn

PROFESSIONAL SUMMARY

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, specializing in multi-stage data pipelines and statistical forecasting. Applying
rigorous engineering standards (HACCP/ISO) to ensure model reliability and technical
safety.

CORE COMPETENCIES

●​ Data Science: Time Series Analysis, Feature Engineering, Statistical Pattern
Recognition.
●​ Quantitative Analysis: Risk Assessment (Kelly Criterion), Probability Theory,
Volatility Analysis.
●​ Technical Stack: Python (Pandas, NumPy, Scikit-learn, XGBoost, Matplotlib), SQL,
Google Colab.
●​ Engineering: System Reliability, Failure Mode Analysis, Quality Assurance.

PROFESSIONAL EXPERIENCE

Independent Research: Algorithmic Investment Modeling | Python Developer / Analyst

Sep 2025 – Present

●​ Developed a hybrid forecasting framework in Google Colab analyzing price
movements through "heavy" (candle-based) and "light" (%-change) models.
●​ Built a system to integrate macro-economic indicators and indicators into the model’s
context for improved predictive accuracy.
●​ Conducted deep statistical analysis of market patterns, focusing on growth/decay
probabilities and volatility cycles.
●​ Implemented automated visualization tools for dataset transparency and
performance tracking.

Quantitative Markets Specialist | Sports Trading Analyst

2020 – 2025
 ●​ Managed risk and capital allocation in high-frequency competitive markets for over 5
years.
●​ Identified market inefficiencies using statistical pattern recognition and real-time
probability assessments.
●​ Developed disciplined frameworks for evaluating complex, multi-variable scenarios
under high pressure.

Food Safety Engineer (M.Eng.) | Engineering Specialist

Education & Early Career

●​ Mastered rigorous safety protocols and documentation standards in industrial
environments.
●​ Applied engineering logic to identify critical failure modes—skills now used for AI
Safety and hardening model reasoning.

EDUCATION

Master of Engineering (M.Eng.) Specialization: Food Safety and Quality Systems

TECHNICAL SKILLS

●​ Programming: Python (Expert in Pandas, NumPy, Matplotlib).
●​ Tools: Google Colab, Jupyter Notebooks, Git, SQL.
●​ Languages: English (Professional), Ukrainian (Native).
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