**Hard Skills:**

- Blockchain Data Analytics & Visualization

- Smart Contract Data Modeling (Solidity, Vyper)

- Machine Learning & Deep Learning (TensorFlow, PyTorch)

- Blockchain Protocols (Ethereum, Binance Smart Chain, Polygon)

- SQL & NoSQL Databases (MongoDB, TimescaleDB)

- Data Engineering (Apache Spark, Kafka)

- Cryptography & Security Protocols

- Python & R Programming

- Data Wrangling & ETL Pipelines

**Soft Skills:**

- Analytical Problem Solving

- Cross-Team Collaboration

- Technical Documentation

- Agile & Scrum Methodologies

- Critical Thinking & Ethical Data Use

*Senior Blockchain Data Scientist*

**AlphaChain Analytics** — San Francisco, CA

Jan 2023 – Present

- Led development of predictive models identifying fraudulent on-chain transactions with 95% accuracy, reducing fraud losses by 30%.

- Designed a decentralized data lake architecture for aggregating cross-chain data, enabling real-time analytics on DeFi protocols.

- Collaborated with security teams to deploy anomaly detection systems identifying suspicious wallet behaviors, preventing potential hacks.

- Created dashboards using D3.js and Tableau for visualizing blockchain transaction flows and network health metrics for executive stakeholders.

Blockchain Data Scientist

**DeFiX Labs** — New York, NY

Jun 2020 – Dec 2022

- Developed machine learning algorithms to forecast asset prices based on on-chain activity metrics and macroeconomic indicators.

- Implemented smart contract event data extraction pipelines, improving data accuracy for trading bots by 40%.

- Conducted in-depth analyses on liquidity pool dynamics, aiding product teams in optimizing yield farming strategies.

- Presented research findings on tokenomics and governance models at industry conferences, enhancing company reputation.

*Junior Data Scientist*

**CryptoInsights** — Remote

Jan 2018 – May 2020

- Supported senior analysts in building models for blockchain transaction clustering and wallet clustering.

- Automated data collection processes across multiple blockchain explorers, reducing manual effort by 60%.

- Assisted in developing initial prototypes for decentralized identity verification systems emphasizing privacy-preserving techniques.

**Bachelor of Science in Computer Science**

University of California, Berkeley — Berkeley, CA

*2013 – 2017*

- Certified Blockchain Data Scientist (CBDS) — Blockchain Council, 2024

- Certified Ethical Hacker (CEH) — EC-Council, 2023

- TensorFlow Developer Certificate — Google, 2022

Blockchain Anomaly Detection System

Led a project to design a machine learning-based anomaly detection system that monitors on-chain activities in real-time, significantly reducing false positives in fraud alerts.

Decentralized Identity Verification Framework

Developed a privacy-preserving identity verification protocol using zero-knowledge proofs integrated with smart contracts, enhancing user privacy in digital KYC processes.

Cross-chain Data Integration Platform

Built an ETL pipeline and visualization dashboard consolidating data from Ethereum, Binance Smart Chain, and Polygon, enabling multi-chain analytics in a unified environment.

- English (Native)

- Spanish (Professional Working Proficiency)