oluwajuwonade

I am a Data & Quantitative Analyst with an Economics background, focused on turning complex data into actionable business, financial, and strategic insights.
My work combines data analysis, business intelligence, quantitative research, financial analysis, and AI-enabled workflows. I use SQL, Python, Excel, Power BI, statistical methods, and AI tools to clean and investigate data, identify patterns, build analytical models, develop dashboards, validate results, and communicate findings clearly.
My analytical interests include financial and credit analysis, risk modelling, market research, business performance, customer and product analytics, and Web3/crypto data.
I am particularly interested in applying analytics to blockchain and digital-asset ecosystems, including transaction activity, market behaviour, protocol metrics, user behaviour, financial flows, and on-chain research.
I approach analytics as a decision-support function rather than simply a reporting task: define the business question, structure the data, test assumptions, quantify the evidence, identify the relevant drivers, and translate findings into practical decisions.
Core capabilities: Data Analytics, Business Intelligence, Quantitative Analysis, SQL, Python, Excel, Power BI, Financial Analysis, Risk Analysis, Market Research, AI-assisted Analytics, Data Automation, Data Quality, and Web3/Blockchain Analytics.
Open to remote opportunities across Data Analytics, BI, Quantitative Analysis, Financial Analytics, Research, AI-enabled analytics, and Web3/Blockchain analytics.