Blockchain Data Analyst & Researcher

I turn on-chain data into meaningful insights

I build data-driven dashboards to investigate protocol activity, capital flows, liquidity, trading behavior, user activity, and ecosystem growth — using these analyses as the foundation for in-depth research.

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Turning Blockchain Data Into Insights

Hi, I'm David Abimbola. I'm a Blockchain Data Analyst and Researcher focused on turning on-chain data into meaningful insights across protocols, markets, and user behavior.

I build data-driven dashboards to explore protocol activity, user behavior, liquidity, and market trends, using these analyses as the foundation for in-depth research reports.

My approach goes beyond surface-level metrics — I investigate what is happening on-chain, why it is happening, and what it means for the broader ecosystem.

Process

1
Blockchain Data
2
Analysis
3
Dashboards
4
Research
5
Insights

What I Do

Core capabilities spanning SQL, on-chain research, and analytical reporting.

SQL & Dune Analytics

I apply advanced SQL to blockchain data to uncover meaningful insights across protocols and networks. With a professional diploma in Smart Contracts and an ongoing BSc in Computer Science, I build analytical dashboards and data-driven queries to investigate protocol activity, capital flows, liquidity, trading behavior, user activity, and ecosystem growth.

SQLDune AnalyticsEthereumAvalancheRobinhoodArbitrum

On-Chain Research & Analysis

I use on-chain data to investigate protocols, markets, and user behavior — moving beyond surface-level metrics to uncover trends, drivers, and actionable insights across DeFi, RWAs, and blockchain ecosystems.

DeFiRWAsOn-Chain AnalyticsSmart ContractsProtocol Research

Data Analytics & Reporting

I turn complex blockchain data into actionable insights through analytical dashboards and in-depth research on protocol performance, market trends, user behavior, and ecosystem growth.

Power BIData VisualizationResearch ReportsDune

How I Work

01

Identify

Find the research question worth investigating.

02

Query

Use SQL and blockchain datasets to extract the relevant on-chain activity.

03

Analyze

Investigate trends, user behavior, capital flows, liquidity, and protocol activity.

04

Visualize

Build dashboards that make complex blockchain data understandable.

05

Research

Turn the analysis into structured research and market intelligence.

06

Insight

Explain what happened, why it happened, and what it means.

Certifications

MySQL HeatWave Implementation Certified Associate — Rel 1

Certified

Oracle

Developed a strong foundation in database management, SQL, data organization, and analytical workloads. I apply these skills to blockchain data by structuring and querying on-chain datasets, extracting relevant metrics, and transforming blockchain data into meaningful analytical insights.

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Blockchain Data Analytics with SQL

Certified

Certification

Built practical expertise in applying SQL to blockchain datasets, from querying transaction-level data and tracking capital flows to analyzing protocol activity, liquidity, trading behavior, and user activity. The certification strengthened my ability to turn on-chain data into structured analysis, dashboards, and actionable research insights.

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Selected Work

On-chain dashboards built to investigate protocols, markets, and user behavior.

Robinhood Chain — Beyond the Hype

Evaluated whether Robinhood Chain’s rapid adoption is driven by true long-term utility or short-term speculative hype. The dashboard tracks network activity, user behavior, liquidity, and ecosystem development to uncover the underlying growth and adoption of the network.

SQLDune AnalyticsOn-Chain AnalyticsRWAUser Behavior
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Deep Dive Into Ondo Finance

Built a comprehensive on-chain research dashboard analyzing Ondo Finance’s RWA ecosystem, including tokenized asset growth, supply dynamics, user adoption, transfer activity, liquidity, and DEX volumes. Used blockchain data to identify growth trends, market behavior, and key drivers behind the adoption of tokenized financial assets.

SQLDune AnalyticsRWAsDeFiOn-Chain Research
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CASHCAT Liquidity & Trading Analysis

Conducted an on-chain liquidity and trading analysis of $CASHCAT on Robinhood Chain, examining DEX volume, liquidity, buy/sell activity, trading activity, and participant behavior. Used blockchain data to assess market dynamics, identify buying and selling trends, and understand how liquidity and user activity were evolving around the token.

SQLDune AnalyticsTrading AnalysisLiquidityWallet Analysis
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GMX V2 — Avalanche Analytics

Built an on-chain analytics dashboard for GMX V2 on Avalanche, analyzing perpetual trading activity, trading volume, trader behavior, open positions, and protocol performance. Transformed raw on-chain data into actionable insights on market activity, user participation, and the health of the perpetual DEX ecosystem.

SQLDune AnalyticsDeFiPerpetualsMarket Analysis
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Research & Insights

Using on-chain data to investigate protocols, markets, and ecosystem behavior.

RWA · Protocol Research

Robinhood Chain Deep Dive

Investigated Robinhood Chain’s early adoption through an on-chain data-driven lens, analyzing network activity, DEX volumes, bot participation, and the interaction between tokenized equities and speculative assets. Used these findings to assess whether the chain’s early traction is translating into meaningful RWA adoption and sustainable financial activity.

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RWA · DeFi

Deep Dive Into Ondo Finance

Researched Ondo Finance’s RWA ecosystem using on-chain data to evaluate the adoption and growth of tokenized financial assets. Investigated capital flows, token supply, user activity, transfer volumes, and DEX trading activity to uncover market trends and assess how Ondo is bridging traditional financial assets with on-chain markets.

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DeFi · Market Intelligence

GMX Avalanche Market Intelligence Report

Analyzed GMX V2’s perpetual markets on Avalanche to uncover trading trends, market concentration, trader behavior, and risk dynamics. Combined volume, long/short positioning, open interest, and funding-rate data to assess market sentiment, liquidity conditions, and the drivers of protocol activity.

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DeFi · Liquidity

Balancer Protocol — Analytical Overview

Analyzed Balancer Protocol’s on-chain activity to uncover trading and liquidity trends, user behavior, and concentration across liquidity pools. Investigated whale and bot activity, user retention, and high-volume asset pairings to evaluate liquidity efficiency and the drivers of protocol activity.

View Article

Experience

Blockchain research, analytics, and protocol intelligence roles.

  • Research Analyst

    Analytic Sages
    • Conducted in-depth on-chain research across DeFi protocols, analyzing trading activity, liquidity, capital flows, user behavior, and protocol performance.
    • Built analytical dashboards and SQL queries to transform raw blockchain data into clear, data-driven insights for research and market intelligence.
    • Produced research and market intelligence reports translating complex on-chain activity into actionable insights on protocol growth, adoption, and market trends.
    • Built an Aave analytics dashboard that was featured among Dune’s trending dashboards, demonstrating the relevance and quality of the analysis and visualization.

  • Content Writer & Researcher

    Noether DEX
    • Researched and translated complex DeFi and synthetic asset concepts into clear, engaging content for both technical and non-technical audiences.
    • Produced educational content explaining Noether DEX’s synthetic Bitcoin trading model and how users can gain exposure to Bitcoin without directly holding the asset.
    • Developed user onboarding content designed to introduce new users to Noether DEX, its products, and core functionality.
    • Contributed research-driven content as part of Noether DEX’s ambassador program, supporting user education and ecosystem awareness.

  • Independent Blockchain Research Analyst

    Independent
    • Conduct independent on-chain research across Tokenization, RWAs and DeFi ecosystems, using SQL and blockchain analytics to investigate protocol activity, capital flows, liquidity, user behavior, and ecosystem growth.
    • Independently identify research questions and analyze on-chain datasets to uncover trends and insights across protocols and networks.
    • Build and maintain analytical dashboards that translate complex blockchain activity into accessible, data-driven insights.
    • Conduct comparative and ecosystem-level analysis to evaluate protocol adoption, user activity, liquidity, and growth.
    • Publish research-driven analyses and visualizations to communicate findings to broader Web3 audiences.

Education

B.Sc. in Computer Science

In Progress

The technical foundation behind my approach to blockchain analytics. Developing expertise in programming, databases, data structures, algorithms, and computational problem-solving. Applying this foundation to query complex on-chain data, build analytical dashboards, and investigate blockchain activity across protocols and networks.

Professional Diploma in Smart Contracts

Completed

A practical foundation in smart contract architecture, blockchain infrastructure, and on-chain interactions, strengthening my understanding of how protocols operate at the transaction and contract level.

Let's Investigate the Data.

Open to blockchain data analyst roles, research opportunities, and on-chain analytics projects.

If you need someone who can dig into blockchain data, build analytical dashboards, and turn complex on-chain activity into clear, actionable insights — let's connect.

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