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Data Science with 3+ years in Predictive Modeling & Data Analysis
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
Advanced E-Commerce Analytics & Predictive Modeling Suite
June 1, 2026 – Present
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 ProjectEnterprise Payroll & Financial Analytics Portal
June 1, 2026 – Present
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 ProjectCRM 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
Customer Service Essentials
Great Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including e-commerce analytics and financial portals, aligns well with a data science role that requires tackling varied business problems. The experience in both public sector (Ministry of Lands) and private sector (Metro Consulting Services) indicates adaptability. However, the certifications are heavily skewed towards customer service and CRM, which might not directly align with a senior data science role's core technical demands, potentially indicating a broader interest or a need to refine focus.
Soft Skills & Operational Fit
The candidate's experience descriptions suggest an ability to work cross-functionally, ensure data accuracy, and translate technical findings into business strategies. The focus on reducing reporting latency and isolating bottlenecks indicates a results-oriented approach. However, specific examples of collaboration, problem-solving under pressure, or leadership are not explicitly detailed.