Danylo Koval
Anti-Sybil / Fraud Detection Analyst
Experience
Anti-Sybil / Fraud Detection Analyst
Confidential Company (under NDA)
- Conducted on-chain transaction analysis and behavioral pattern detection to identify Sybil attacks and fraudulent activities.
- Applied wallet clustering techniques and correlation analysis to link addresses across networks.
- Built dashboards and visualized activity using Dune Analytics and Etherscan.
- Gained hands-on experience with tools such as Arkham Intelligence, DeFiLlama, Zapper, Zerion, Chainabuse, Graphsense, and enterprise-grade forensic platforms including Chainalysis, Elliptic, Bitquery.
- Performed OSINT research and constructed transaction graph visualizations to uncover suspicious flows.
- Developed and tested smart contracts in Solidity, leveraging Truffle and Ganache for simulation and forensic experimentation.
- Acquired practical knowledge of fraud detection strategies and anti-Sybil methodologies tailored to Web3 protocols and DeFi ecosystems.
AI Data Annotator
StellarAI
- Labeled and structured large-scale datasets for training multimodal AI systems, including UI-recognition models, image classifiers, and LLMs.
- Designed diverse scenario-based test cases to improve model robustness across various user interactions, edge cases, and complex UI flows.
- Created high-quality prompts and evaluated LLM outputs for accuracy, reasoning quality, semantic coherence, and safety compliance.
- Conducted detailed annotation workflows, including entity extraction, intent classification, similarity scoring, and multi-step task evaluations.
- Processed and analyzed high volumes of data while maintaining top-tier accuracy and consistency in labeling.
- Authored technical documentation, annotation guidelines, and quality reports to standardize internal processes and support model retraining cycles.
- Performed agent-behavior testing, validating tool execution paths, chain-of-thought consistency, and step-by-step task reasoning in LLM agents.
- Participated in evaluation of model updates, running A/B testing and regression tests to ensure performance improvements.
- Optimized data workflows by identifying inefficiencies and proposing solutions to accelerate annotation speed and improve dataset quality.
Financial Analyst & Co-Founder
Forta Eternis LLC
- Drove company turnover to 1.5M€+ within 9 months by optimizing budget allocation and implementing cost-efficient growth strategies in a highly competitive environment with a limited budget.
- Designed and implemented analytical algorithms to process and interpret high-volume transactional data, providing insights that guided strategic decision-making and improved P2P cryptocurrency trading performance.
- Acquired and onboarded 3,000+ unique clients through targeted P2P trading solutions and client-centric processes.
- Established client communication protocols that improved retention rates, building a loyal base of 100+ regular clients.
- Created fraud detection algorithms that identified and prevented 15+ attempted banking fraud cases, safeguarding company assets.
- Managed all financial operations, including bookkeeping, transaction analysis (AML & CFT), and reporting (Regulatory reports), ensuring 100% accuracy.
- Pioneered hedging strategies using futures market for high-risk crypto assets, reducing volatility-related losses by 99%.
- Single-handedly developed a proprietary CRM system to streamline client management, reducing operational overhead.
Financial Analyst — Crypto Project Evaluation
Confidential Company (under NDA)
- Conducted comprehensive due diligence on emerging cryptocurrency projects entering the market, including DeFi protocols and blockchain bridges seeking liquidity provision.
- Assessed investment rounds, fundraising structures, and capital allocation efficiency.
- Evaluated project founders’ backgrounds, reputation, and track record to determine credibility and long-term viability.
- Analyzed business strategies, tokenomics models, and market positioning.
- Prepared detailed investment risk/reward reports for executive decision-making on liquidity allocation.
- Collaborated with trading and liquidity management teams to align investment decisions with market-making strategies.
P2P Crypto Broker — UK Market (GBP)
Confidential Company (under NDA)
- Executed and managed P2P cryptocurrency trades on the UK market, operating primarily with GBP.
- Conducted daily position planning for cryptocurrency buy/sell operations based on market conditions.
- Performed market evaluation and short-term forecasting to determine optimal currency-to-crypto allocation for the following trading day.
- Maintained accurate financial records of all transactions, ensuring compliance with internal and external reporting standards.
- Prepared detailed financial and operational reports for the accounting department.
- Developed and implemented strategies for routing funds through multiple payment systems to maximize transaction margins.
- Oversaw large-volume bank transfers and ensured secure, compliant processing of high-value transactions.
- Managed a trading turnover exceeding £150,000 per week.
- Optimized payment processing routes, increasing overall trade profitability.
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Banking and Finance (3 years) and Information Technology (1 year).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Finance (2.5 years), Business Intelligence (2 years), Information Technology (1.5 years), Research and Development (1 year), Product Development (1 year), and Quality Assurance (1 year).
Summary
Professional analytical and detail-oriented Data Analyst with experience across finance, AI data annotation, and high-volume data processing.
Skilled in designing scalable data pipelines, developing algorithms for automated analysis, and transforming complex, multi-source datasets into actionable insights. Strong technical foundation in Python, SQL, and Solidity, with hands-on exposure to blockchain ecosystems and digital asset flows. Adept at working with large datasets, ensuring data quality, and optimizing operational processes.
Skills
- Data Analysis (Sql, Python (Pandas, Numpy, Matplotlib))
- Ai: Scenario-based Testing, Test Design, Annotation
- Blockchain: Smart-contract Basics (Solidity, Truffle, Ganache)
- On-chain Analysis
- Dune, Etherscan, Arkham, Graphsense, Chainalysis, Bitquery
- Excel (Macros, Vba, Excel Finance)
- Google Sheets (Google App Scripts)
- Quality Scoring, Error Categorization, Multilingual Evaluation
- Workflows, Llm/ai Evaluation, Prompt Validation, Agent Behavior Testing
- Financial Accounting: Full-cycle Bookkeeping, Financial Reporting, And Transaction Analysis
- Regulatory Operations: Aml/cft Compliance, Risk Assessment, And Audit Preparation For Financial Institutions
- Cryptocurrency Markets: P2p Trading (Binance Pro Merchant), Hedging Strategies, And Fx Rate Analysis For Crypto/fiat Pairs
- On-chain Transactions And Smart Contracts Anlysis
Languages
Education
Politechnika Czestochowska
B.Eng. in Informatics (Computer Science & Applied Mathematics) · Informatics (Computer Science & Applied Mathematics) · Częstochowa, Poland
Profile
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