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I’m a data and BI-focused operations professional with 10+ years of experience using data, automation, and reporting to support accuracy, control, and decision-making across trust, fund operations, and crypto environments. I’ve built data-driven analytics focused on user segmentation, retention drivers, and capital allocation to support growth, liquidity management, and resource prioritization in lending and DeFi protocols. I’ve delivered insights contributing to a projected $50M TVL uplift through behavior-driven segmentation and migration analysis, informing retention and capital allocation strategies.…I’m a data and BI-focused operations professional with 10+ years of experience using data, automation, and reporting to support accuracy, control, and decision-making across trust, fund operations, and crypto environments. I’ve built data-driven analytics focused on user segmentation, retention drivers, and capital allocation to support growth, liquidity management, and resource prioritization in lending and DeFi protocols. I’ve delivered insights contributing to a projected $50M TVL uplift through behavior-driven segmentation and migration analysis, informing retention and capital allocation strategies.

Haysen Lin

Data Scientist, Data Analyst, Blockchain Developer, +5

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I’m a data and BI-focused operations professional with 10+ years of experience using data, automation, and reporting to support accuracy, control, and decision-making across trust, fund operations, and crypto environments. I’ve built data-driven analytics focused on user segmentation, retention drivers, and capital allocation to support growth, liquidity management, and resource prioritization in lending and DeFi protocols. I’ve delivered insights contributing to a projected $50M TVL uplift through behavior-driven segmentation and migration analysis, informing retention and capital allocation strategies.…I’m a data and BI-focused operations professional with 10+ years of experience using data, automation, and reporting to support accuracy, control, and decision-making across trust, fund operations, and crypto environments. I’ve built data-driven analytics focused on user segmentation, retention drivers, and capital allocation to support growth, liquidity management, and resource prioritization in lending and DeFi protocols. I’ve delivered insights contributing to a projected $50M TVL uplift through behavior-driven segmentation and migration analysis, informing retention and capital allocation strategies.

Available to hire

I’m a data and BI-focused operations professional with 10+ years of experience using data, automation, and reporting to support accuracy, control, and decision-making across trust, fund operations, and crypto environments. I’ve built data-driven analytics focused on user segmentation, retention drivers, and capital allocation to support growth, liquidity management, and resource prioritization in lending and DeFi protocols. I’ve delivered insights contributing to a projected $50M TVL uplift through behavior-driven segmentation and migration analysis, informing retention and capital allocation strategies.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Governance Contributor, Remote Independent DeFi Risk Architect & Researcher at Independent (Remote)

November 1, 2024 - Present

Architected a momentum-based early-warning system for Aave & Ethereum capturing ~85% of historical redemption stress events. Built real-time dashboards to support LTV and liquidation parameter analysis during volatility. Designed the L1–L4 Behavioral Risk Architecture, translating risk triggers into auditable on-chain monitoring signals to detect liquidation cascades, concentration buildup, and systemic fragility. Developed a behavioral segmentation model (560k+ addresses) to quantify liquidation sensitivity and concentration, informing retention strategies with projected ~$50M TVL uplift and mitigated cluster-level bad debt exposure.

BI & Risk Operations Lead at DBS Bank

August 1, 2023 - April 2, 2025

Built scalable validation and exception-handling frameworks supporting $200M+/month in fund flows, improving anomaly triage and execution integrity across high-volume operations. Improved data quality from 81% to 97% and strengthened audit readiness by redesgning validation schemas, reducing operational risk and generating 13% cost savings. Accelerated risk responsiveness by 34% via centralized exception governance and dynamic resource allocation, reducing settlement disruptions during peak periods. Led risk-informed workflow alignment across teams, implementing internal controls that reduced process discrepancies and strengthened operational resilience.

BI & Risk Operations Analyst at Citi Bank

March 1, 2019 - January 31, 2022

Resolved critical system constraints by analyzing payout anomalies and executing real-time overrides, ensuring operational continuity under high-stress conditions. Fortified system resilience by designing an anomaly-monitoring dashboard and reducing technical debt, preventing recurring operational friction across high-volume workflows.

Governance Contributor, Remote Independent DeFi Data & Analytics Contributor at Remote Independent DeFi Data & Analytics Contributor

November 1, 2024 - Present

Built a behavioral segmentation model driving a projected ~$50M TVL uplift by translating user behavior into insights on retention, risk concentration, and capital allocation. Designed end-to-end analytics frameworks translating market and on-chain signals into actionable dashboards for user behavior, liquidity exposure, and concentration monitoring. Built a data-driven early-warning and monitoring system for Aave & Ethereum, capturing ~85% of historical stress events and supporting risk-aware liquidity and operational decisions.

Senior BI & Risk Operations Analyst at Citi Bank

January 1, 2022 - August 1, 2023

Achieved near-100% payout accuracy by implementing real-time anomaly detection and multi-source validation, mitigating operational errors and strengthening fraud-control reliability. Led remediation of legacy data issues with root-cause analysis and conversion of records into audit-ready datasets to improve regulatory alignment. Accelerated risk-triage speed by 40% through centralized exception governance and dynamic resource allocation, reducing settlement disruptions during peak periods.