Alexander Dovhulia - Резюме по вакансии

PROFESSIONAL EXPERIENCE Systems & Data Analyst Sep 2025 – Present Independent Research & Development (Flagship Time-Series Forecasting Engine) Remote • Architected the complete analytical engine for multi-timeframe OHLCV time-series forecasting, formalising models to predict state transitions and directional magnitude shifts. • Formulated a multi-stage contextual feature logic with custom noise-filtering thresholds (-1, 0, 1), systematically eliminating false signals and capturing persistent market micro-structures. • Engineered a benchmarked champion-model selection framework per ticker/timeframe, optimising trade-offs across Sharpe ratio, maximum drawdown, and out-of-sample directional accuracy. • Integrated operational friction simulations (slippage, spread) and data leakage prevention safeguards to ensure model stability and survival in live, unobserved regimes. • Leveraged LLM-driven rapid scripting workflows to accelerate data pipeline design, iterative feature engineering, and statistical hypothesis testing. Quantitative Markets Analyst 2020 – 2025 Sports Trading • Executed high-frequency quantitative risk assessment and active capital allocation across multi-variable live data feeds under strict latency constraints. • Systematically identified statistical anomalies, odds discrepancies, and implied probability mispricings across independent data feeds. • Enforced bankroll preservation algorithms using fractional Kelly Criterion, maintaining strict drawdown thresholds during extreme variance cycles. • Logged and audited historical execution performance to continuously monitor edge decay, model drift, and operational efficiency. Quality & Systems Engineer (M.Eng.) Early Career Industrial Operations On-site • 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 standardised data logging protocols. TECHNICAL PORTFOLIO & APPLIED AUTOMATION Lead Processing & Dispatch Engine (MVP) GitHub: github.com/OleksanderSS/lead_pipeline_mvp • Designed a lightweight ETL pipeline demonstrating operational business process automation: extracts unstructured incoming lead data from email feeds, runs financial metric calculation logic, and dispatches real-time summary reports via Telegram Bot API. • Demonstrates versatility across diverse data engineering tasks: API integrations, asynchronous event-driven flows, and clean data validation outside purely financial models.

Национальный университет пищевых технологий

Английский