Professional Overview
Data & Quantitative Analyst focused on risk analytics, financial modeling, statistical analysis, BI, and AI workflows. Skilled in Excel, Python, SQL, and quantitative reasoning. Built a 50,000-borrower credit risk PD model with 0.70 test AUC. Portfolio: https://oluwajuwonade.vercel.app/
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Analyzed business and economic data using quantitative and AI-assisted workflows
- Designed structured prompts and workflows for research, analysis, and AI evaluat
- Conducted web research, data validation, synthesis, and evidence-based reporting
- Built analytical frameworks for financial, economic, and business intelligence
- Evaluated AI outputs for accuracy, relevance, reasoning quality, and instruction
Key Achievements / KPIs
- Developed reusable AI-assisted workflows for research, analysis, and professiona
- Combined economics, quantitative analysis, and AI tools to structure complex bus
- Created analytical resources, case studies, and professional portfolio projects
- Integrated AI into research and data workflows to improve analytical efficiency
Education
Field of Study: Education (Economics)
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
