Help & Supportcareers@gravityer.com
Data Scientist with 3+ years in Predictive Modeling & ETL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
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.