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Dmitry Spiridonov

✉ [email protected]

Professional Summary

Data-driven Web3 analyst specializing in on-chain metrics, DeFi protocols, and blockchain risk analysis. Skilled in uncovering patterns in transaction flows, detecting anomalies across AMMs and lending protocols, and communicating insights for strategic decision-making. Passionate about leveraging blockchain transparency to drive decentralized finance innovation.

Education

BSc in Business Informatics

National Research Nuclear University MEPhI (Moscow Engineering Physics Institute – international program)

Expected to graduate in 2024

Thesis: Designing a Blockchain Transaction Analysis Bot

Experience

On-chain Analyst

Kity Investitsii

July 2023 – Present

• Performed deep-dive analytics on Ethereum-based DeFi protocols to detect insider trading and liquidity anomalies
• Developed and validated hypotheses related to token movements, LP behavior, and protocol health
• Collaborated with dev teams to enhance internal dashboards for real-time blockchain tracking
• Conducted internal workshops for clients and stakeholders on interpreting Web3 data
• Created a full educational course on blockchain-based copy trading, covering BSC, Solana, ETH, and Tron ecosystems. Personally developed the video curriculum, wrote scripts, and recorded instructional content for beginner and intermediate users.

Key Achievement:

• Designed and implemented a trading strategy that generated $10,000 profit in 10 days for the company. Strategy focused on tracking specific wallet activity in BSC and executing responsive trades based on identified patterns. Proof of results available upon request.

Skills

On-Chain & DeFi Expertise:

AMM mechanics, tokenomics, lending protocols, LP behavior analysis, governance models

Blockchain Analytics:

Wallet clustering, real-time transaction tracing, liquidity movement detection, token flow mapping

Tech Stack:

Excel, SQL (basic), Python (learning), Git (familiar)

Quantitative Strategy:

PnL modeling, volatility tracking, scenario analysis in decentralized systems

Tools & Platforms:

Actively use the following tools for on-chain investigations and analytics:

• DeBank, Zerion, Arkham, EigenPhi, Nansen, Token Terminal
• Etherscan, Tenderly, Ethtx, Revoke.cash, TXS.WTF
• Dune Analytics, Flipside Crypto, Parsers
• DefiLlama, Chaos Labs, Gauntlet

Advanced Web3 Trading Systems:

Deep understanding of automated trading bots such as Maestro, Jeet.Trade, and others. Experienced in:

• Token sniping, frontrunning logic, and memecoin trade execution
• Gas optimization, Mempool simulation, bundle strategies
• Telegram bot execution and real-time market entry/exit