evertonmartinez

On-chain Data Analyst, Blockchain Forensic Investigation, DeFi Security, Crypto Due Diligence, and expertise in fund tracing and complex analysis across EVM and non-EVM networks.

With over 3 years of experience and a background Computer Science, Python, Solidity, and Blockchain Data Analysis, I offer blockchain investigation services focused on fund tracing, Due Diligence (even when it requires decompilation and analysis of smart contracts), and Risk Monitoring, in addition to activities related to anti-money laundering (AML). My work results in reports that assist investors, compliance teams, and project owners in responding to cryptocurrency-related investigation or analyses.

I work on reconstructing the flow of on-chain transactions, identifying entities and protocols involved, providing technical analyses of each extracted dataset, mapping suspicious movements, identifying private key compromises, mapping transactions, entities and protocols involved, identifying wallet activities, or simply helping project owners and investors understand the behavior of the addresses involved in a project to gain insights into security risks, along with recommendations on how to mitigate them.

Comprehensive on-chain transaction analysis may involve cases of suspicious approvals, potential private key compromises, unauthorized transfers across multiple chains and wallets, batch transfers through the new EIP-7702 implementation, privacy protocols, cross-chain atomic swaps, and common mixers such as Tornado Cash and RailGun.

I also perform analyses related to the logical abstraction of trading bots and provide technical assessments of the legitimacy of their operational mechanisms based on token selection and the automated strategies they use, especially from a compliance perspective.

I’m open to collaborating with your team on both long-term and short-term projects, offering investigative support according to your needs and delivering highly detailed blockchain transaction analyses in a clear and accessible manner so that even non-technical professionals can understand and trust the results.