📍 Montreal, QC | 📧 [email protected] | 🌐 LinkedIn | 💻 GitHub | 🖥️ Portfolio

I'm a crypto-native researcher, builder, and data analyst passionate about telling the story behind the numbers. Whether it's tokenizing real-world assets, forecasting Bitcoin with neural networks, or helping institutions enter DeFi—I love turning on-chain complexity into clarity.

I currently lead strategy and research at 3iQ, where I work on everything from lending frameworks and RWA tokenization to deep-dive research across DeFi, staking, and Web3 infrastructure. Before that, I co-founded an NFT studio that drove over $4M in revenue in its first year.

I thrive where data meets narrative, and I bring that energy to every project, product, and partnership I’m a part of.

All of my reports, data projects, and tools are live across my repos. Here's a curated set of highlights:

• 3iQ Web3 Tokenization Market Research Report
  In-depth research on the landscape of tokenized T-Bills, equities, and the rise of RWAs.
• Coincheck Wallet Solution
  A go-to-market proposal for launching USDC smart wallets under Japan’s stablecoin regulation.
• Akash Network Diligence Report
  Product, tokenomics, and strategy review for decentralized compute infrastructure conducted for Binance.
• DeFi Savings Rate Analysis
  Comparative research on sFRAX, sDAI, sUSDe and the evolution of DeFi yield markets.
• RWA Lending Landscape Report
  Breakdown of key lending platforms like Centrifuge, Maple, and Goldfinch.
• Funding Rate Basis Trade Explainer
  A deep dive into funding rate arbitrage, narrative-driven alpha, and trading strategy design.

• Crypto VC Investment to FDV Ratio Analysis
  An investigation into venture capital impact on token valuations, featuring visual dashboards and Dune queries.
• BTC-LSTM Prediction Model
  Time series forecasting using LSTM neural networks on historical Bitcoin data.
• Bitcoin Sentiment NLP Tool
  NLP model analyzing Twitter sentiment to predict Bitcoin price movements.
• DEX Data Analysis Report Across Chains
  Dashboard + analysis of trading patterns on Ethereum, Solana, BSC, Polygon, Arbitrum, and Optimism.

University of Michigan – M.S. Applied Data Science
University of Nicosia – M.S. Blockchain & Digital Currency
Concordia University (John Molson School of Business) – BComm, Marketing & Finance
Ernst & Young Scholar • Beta Gamma Sigma • Dean’s Honour List

Languages: Python, SQL, R
Analysis & Modeling: Machine Learning, NLP, Time Series, A/B Testing
Blockchain: Dune Analytics, Token Terminal, MetaMask
Visualization: Tableau, Plotly, Seaborn, Matplotlib
Stack: GitHub, Jupyter, Docker, Spark, Hadoop, AWS, Dash
Other: Tokenomics • Research Writing • Product Strategy • Web3 Go-to-Market

• zkML and privacy-preserving analytics
• Ecosystem dynamics in DePIN, decentralized compute, and tokenized equities
• Building models to track VC impact on token price performance
• Designing frameworks for DAO treasury strategies and vesting flows

Thanks for stopping by! I'm always excited to connect with fellow builders, researchers, and curious minds.
If you’re working on something impactful in crypto, feel free to reach out:
[email protected]