Petroleum Engineering Graduate - Data Analytics & Inventory Specialist

ASU DANIEL

Okota, Lagos 081******** *************@*****.***

PROFESSIONAL SUMMARY

Results-driven Petroleum Engineering graduate with hands-on experience in data entry, inventory tracking, and data management. Proficient in Microsoft Excel, SQL Server, Power BI, and QuickBooks Enterprise. Proven ability to ensure data accuracy, identify discrepancies, and maintain organized records through current role as an Inventory Analyst at BON PEE Superstore. Detail-oriented, reliable, and committed to delivering accurate results efficiently.

EDUCATION

Bachelor of Engineering (B.Eng) in Petroleum Engineering – University of Port Harcourt 2025

● Coursework: Drilling Engineering, Production Engineering, Reservoir Engineering, Petroleum Geology, Thermodynamics, Engineering Mathematics, Well Logging and Formation Evaluation, Petroleum Economics and Project Evaluation

Senior Secondary School Leaving Certificate (SSCE) - Kosec secondary School, 2018 SKILLS

Technical Skills

Microsoft office suite Microsoft Excel SQL Server PowerBI Python QuickBooks Enterprise Analytical Skills

Process Simulation, Data analysis and visualization, experimental design Soft Skills

Effective communication, teamwork,problem-solving,project management PROFESSIONAL WORK EXPERIENCE

Digital Skillup Africa intern/trainee March 2025 - June 2025

● Series of intensive training in data analysis, focusing on key tools and technologies such as: Microsoft Excel: Data manipulation, visualization, and analysis SQL: Querying and managing databases

Power BI: Business intelligence, data visualization, and reporting. INVENTORY ANALYST at BON PEE Superstore October 2025 - Present

● Managed daily inventory tracking and reconciliations using QuickBooks Enterprise, including pulling transaction details to verify accuracy and identify stock discrepancies; created straightforward Power BI dashboards to monitor stock levels, detect reordering trends, and minimize overstock or shortages, improving operational efficiency and supporting faster decision-making for the store team.

PROJECT

Different depositional belts in the Niger Delta Basin Reference: Available upon request