Ajibola Ayomide
Odeyemi
Quantitative Data Analyst | AI-Integrated Data Specialist
Transforming complex, multi-variable datasets into actionable business intelligence with 3+ years of professional rigor.
OPTIMIZED
DEPLOYED
MAINTAINED
Active Data andBusiness Analyst
PROJECT PORTFOLIO
QUANTITATIVE ACTUARIAL VaR & FRAUD DETECTION ENGINE
End-to-end MLOps pipeline on 55k+ records. Engineered SQL Window Functions, regularized XGBoost pricing, 10k-iteration Monte Carlo VaR simulations, and an Isolation Forest model to detect billing anomalies via a decoupled Streamlit UI.
SECURE INSTITUTIONAL DATABASE SYSTEM
MySQL, bcrypt security, connection pooling, role-based access. Enterprise-grade architecture separating business logic from database UI views.
GLOBAL SOFTWARE SALES PERFORMANCE ENGINE
An interactive Power BI dashboard utilizing a Star Schema and dynamic DAX to analyze 50k+ records. Built to track customer loyalty, billing efficiency, and revenue optimization.
SPSS HR ATTRITION DRIVERS ANALYSIS
IBM SPSS HR database analysis using independent T-tests. Identified statistically significant 24-month flight risk spikes, a $2k income gap, and heavy commute fatigue.
SQL CENTRAL PARK SQUIRREL DATA PIPELINE
MySQL backend, Python/Pandas extraction, Seaborn mapping visualization. Behavioral tracking. Handled messy string dates and boolean conversions programmatically.
ENTERPRISE COMMERCIAL ANALYTICS ENGINE
An end-to-end commercial analytics engine built in Excel. Features rigorous ETL processing, dimensional data modeling, and dynamic KPI dashboards.
THE ANATOMY OF GLOBAL MORTALITY (2015-2025)
An interactive Tableau dashboard analyzing a 10-year dataset of global mortality trends. Utilizes advanced data storytelling to map demographic vulnerabilities.
QUANTITATIVE RISK MODELING & BIOMEDICAL RESEARCH
Elsevier, Vol. 228 publication. End-to-end data lifecycle for multi-variable clinical cohorts. Python/R statistical probability modeling and rigorous EDA.
