+4 years of experience. Statistician and Data Scientist & Analytics. Specialized in advanced analytics, predictive modeling, and transforming complex data into actionable business insights.
Co-founded and scaled a crypto analytics web app (liquidity-pool analysis, funding rates, lending/borrowing metrics and portfolio tracker) with live on-chain and market data integrations. Grew to 3k+ monthly users with 500+ paid subscribers. Architected end-to-end cloud infrastructure, ETL pipelines and a custom real-time data API. Designed and deployed machine learning models for predictive analytics, risk scoring, and user segmentation.
Independent statistical model validation and regulatory assessment under IFRS 9, ICAAP and ILAAP frameworks. Performed rigorous quantitative analysis to ensure compliance with banking regulations and risk management standards.
Developed a custom web platform for Spain's largest crypto academy using Orwee's data infrastructure. Integrated custom on-chain indicators and analytics for educational and trading purposes. Built data pipelines and visualizations delivering real-time, protocol-level DeFi insights to students.
Designed an Automated Liquidity Manager (ALM) algorithm. Extracted on-chain data via subgraphs with time-series analysis of liquidity and price metrics. Executed systematic backtesting, selecting optimal algorithms based on risk-adjusted performance and capital efficiency (Bollinger Bands, Keltner Channels, etc.).
Extracted and decoded on-chain data from blockchain scanners and smart contract events (LP mints/burns, swaps, fee collections). Tracked wallet-level liquidity interactions across major DEXs (Uniswap, PancakeSwap, Aerodrome, etc.) using normalized DeFi schemas. Developed transaction-level traceability and valuation pipelines for DeFi tax and fiscal reporting.
Asset Management strategy for Liquidity Pools Vaults. Liquidity research and automated flows to optimize yield performance on on-chain positions.
Development of custom Dashboards for crypto educational academies. Real-time analysis of market opportunities and on-chain tools for students and investors.
Class of 2023 — Complutense University of Madrid
SAS & Complutense University
SAS & Complutense University
My name is Guillermo Esteban. I am a Data Scientist and applied statistician with deep expertise in blockchain analytics and DeFi. I transform complex on-chain and financial data into actionable insights, statistical models, and scalable analytics platforms.
With over 4 years of experience, I validated statistical models under IFRS 9, ICAAP and ILAAP regulatory frameworks at Bankinter and co-founded and scaled Orwee from zero to 3k+ monthly users and 500+ paid subscribers, architecting its cloud infrastructure, ETL pipelines and machine learning systems. I bring a unique blend of rigorous statistical training and hands-on engineering to every challenge.
My approach combines deep analytical thinking with practical execution — from designing machine learning models and backtesting trading strategies to building end-to-end data pipelines and real-time dashboards that drive informed, data-driven decisions.
Tell me about your challenge. I will analyze your case and propose the most suitable data or backend architecture solution for your company.
Contact me