Олександр

OLEKSANDR DOVHULIA
QUANTITATIVE & DATA ANALYST
Location: Kyiv, Ukraine (Remote) • Email: [open contact info](look above in the "contact info" section) • GitHub: github.com/OleksanderSS

PROFESSIONAL SUMMARY

Analytical Systems Engineer (M.Eng.) with 5+ years of hands-on experience in real-time quantitative analysis, probabilistic
risk management, and statistical modelling. Specialized in developing Python data pipelines, automated feature
engineering, and time-series forecasting frameworks across volatile data regimes. Combines industrial Quality Assurance
and Failure Mode Analysis standards with statistical rigor to build resilient, production-grade analytical engines.

CORE COMPETENCIES & TECHNICAL STACK

Data Analysis & Modelling: Python (Pandas, NumPy, SciPy, Scikit-learn), SQL (PostgreSQL), Time Series
Forecasting, Feature Matrices, Signal Noise-Filtering.
Quantitative Risk Management: Probabilistic Assessment, Kelly Criterion (Fractional), Drawdown Control, Volatility
Clustering, Regime Detection.
Reliability & QA Architecture: Failure Mode & Effects Analysis (FMEA), Data Integrity Validation, Back testing
Engine Design, Root Cause Isolation.
Tools & Workflows: Git, Jupyter Notebooks, Google Collab, Seaborn, REST APIs, Micro-pattern
Discovery.

PROFESSIONAL EXPERIENCE

Quantitative Data Analyst | Independent Research & Development Sep 2025 – Present
Architected an end-to-end Python pipeline engineered for multi-timeframe OHLCV time-series forecasting, predicting
directional state transitions and price magnitude shifts.
Constructed an automated contextual feature engine with custom noise-filtering thresholds (-1, 0, 1) to eliminate false
signals and isolate recurring market micro-structures.
Designed and benchmarked an automated champion-model selection framework per ticker/timeframe, maximizing risk-
adjusted return, Sharpe ratio, and directional accuracy.
Integrated simulated slippage, spread frictions, and macroeconomic volatility regimes into validation modules to ensure
model survival out-of-sample.

Quantitative Markets Analyst | Sports Trading & Arbitrage 2020 – 2025
Executed high-frequency quantitative risk assessment and active capital allocation across multi-variable live data feeds
under strict latency constraints.
Systematically detected odds discrepancies, statistical anomalies, and implied probability mispricing's across independent
bookmaker feeds.
Enforced strict bankroll growth algorithms using fractional Kelly Criterion, maintaining strict drawdown thresholds during
extreme volatility and variance cycles.
Logged and audited historical trade performance to continuously calibrate edge decay and execution efficiency.

Quality & Systems Engineer (M.Eng.) | Industrial Operations Early Career
Conducted systemic audits, process compliance verifications, and safety checks in adherence to formal industrial quality
frameworks.
Identified critical operational bottlenecks through statistical sample analysis and implemented standardized data logging
protocols.

EDUCATION

Master of Engineering (M.Eng.) — Specialisation: Systems Quality & Safety Engineering Graduated

Oleksandr Dovhulia — Quantitative & Data Analyst Resume Confidential & Professional Reference