Data Scientist with 3+ years in Predictive Modeling & ETL
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Assessing your cultural and operational fit
Analytical Computer Science graduate and Data Scientist with a strong quantitative foundation in applied statistics, predictive modeling, and relational database design. Adept at turning raw transactional and financial datasets into actionable enterprise insights by leveraging Python (Pandas, NumPy, Scikit-Learn), SQL, and data visualization tools. Experienced in translating complex business problems into structured hypothesis testing, conducting ad-hoc data mining, and developing dashboard reports that lead to fact-based solutions for strategic business issues.
Tai Solarin University of Education
Bachelor of Science · Computer Science
N/A – June 30, 2024
D.S Adegbenro ICT Polytechnic
Ordinary National Diploma · Computer Science
N/A – June 30, 2019
Ministry of Lands, Housing, and Urban Development (Admin & Supplies)
Data Analyst / Scientist (NYSC)
December 1, 2025 – Present
Ibadan North, Oyo State, Nigeria
Metro Consulting Services
Business Data Analyst
October 1, 2023 – August 1, 2025
India
ICT Resource Centre, FUNAAB
Data Engineering Intern
July 1, 2022 – June 1, 2023
India
Enterprise Payroll & Financial Analytics Portal
June 1, 2025 – June 1, 2026
Developed an end-to-end financial analytics application and data pipeline that ingests, cleans, and processes raw corporate transactional ledgers to compute multi-jurisdictional compliance models. Engineered an object-oriented Python backend calculation engine integrated with a relational SQLite database structure and a secure SHA-256 user encryption architecture. Maintained clean data mining logs and built responsive dashboard reports via Pandas and Matplotlib to visualize critical business intelligence, compensation metrics, and audit trails.
View ProjectAdvanced E-Commerce Analytics & Predictive Modeling Suite
June 1, 2025 – June 1, 2026
Designed and engineered a complete machine learning pipeline to model customer behavior metrics, resolve extreme dataset class imbalances, and isolate business friction points. Utilized SQLite3 for robust data warehousing and applied Scikit-Learn (Random Forest Classification & Regression concepts) to analyze data distributions and measure key conversion variables. Formulated data-driven insights regarding the statistical trade-offs between freight pricing structures and delivery estimation accuracy, translating algorithmic outputs into objective business strategies.
View ProjectCustomer Service Essentials
Great Learning
June 1, 2026 – Present
CRM System Automation
airSlate Academy
June 1, 2026 – Present
Data Analytics using Excel
Great Learning
June 1, 2026 – Present
Customer Relationship Management
Alison
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (financial analytics, e-commerce) and experience across different organizational types (government, consulting, academic) suggest adaptability. The listed certifications, even if in progress, show a commitment to continuous learning. The blend of technical and analytical roles indicates a proactive approach to skill development relevant to a data scientist role.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience indicate an ability to work cross-functionally, manage data quality, and present findings to management, suggesting a good operational fit. The focus on problem-solving and translating algorithmic outputs into business strategies highlights analytical thinking and business acumen.