Predictive Analytics for Tokenomics & DeFi Protocols

Technical Data Insights for Web3 Founders I provide robust Data Science solutions to optimize your protocol's performance and token economy. No fluff—just clean code and actionable models.

What I offer:

Tokenomics Stress Testing: Python-based simulations to predict liquidity drain or inflationary spirals under various market conditions.

On-Chain Behavioral Analysis: Using SQL and Python to cluster user types (whales vs. retail) and predict churn.

ML-Powered Fraud Detection: Custom models to identify wash trading or sybil attacks on your DAO/Protocol.

Custom Dashboards: Clean data visualization (Streamlit/Plotly) of your smart contract events.

Tech Stack: Python (Pandas, Scikit-learn), SQL (Dune/Flipside), Node.js, and Jupyter. Deliverable: A technical report + the source code repository.

Terms of work
300
USDT, AUDT, USDC
+17

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