Joy Idaka
adg0x9@r.postjobfree.com 081********
Plot *0, Blk 12, Emmanuel Edem Crescent, F.H.E, Calabar, Nigeria
PROFESSIONAL SUMMARY
Motivated Engineering Graduate skilled at meeting customer needs with expert support. Stay on top of demands in fast-paced environments by effectively using available tools in slow periods. Maintain organized, clean, and safe work areas with diligent attention to important details.
SKILLS
• Presentation
• Microsoft Office
• Written communication
• Administrative support
• Digital Marketing
• Data Processing
• Customer Relations
• Hazard Identification
EXPERIENCE
H.S.E. Representative, National Youth Service Program
Norton Engineering Limited – Lagos, Nigeria December 2019 - October 2020
Worked effectively with various teams to accomplish daily objectives and meet long-term goals.
Tracked daily activities in Microsoft Excel for consistent reporting.
Boosted efficiency by keeping work areas clean, tidy, and free of debris.
Managed files and continuously updated and organized records.
Contributed many successful ideas to improve Safe work.
Project Engineering Intern
Norton Engineering Limited – Lagos, Nigeria January 2018 - July 2018
Assisted in research for detailed engineering and costing of project demands.
Updated Man-Hours as well as Project reporting and Inspection.
Widened my ideas on fabrication work, vessel maintenance, and daily progress reporting.
Marketing and Maintenance Intern
Mainland Oil and Gas – Calabar, Nigeria May 2015 - July 2015
Completed regular basic maintenance, including lubricating components and replacing worn parts.
Managed files and continuously updated and organized records.
Sold Petroleum Products while analyzing the daily price of these products.
EDUCATION
B. Eng Petroleum Engineering
Covenant University Ogun State, Nigeria July 2019
Second Class Upper
Coursework: Drilling Fluid, Artificial Intelligence, and Environment
Senior School Certification Examination
Hillcrest College Calabar, Cross River State, Nigeria July 2014
PUBLICATIONS
Improved Water Based Mud Using Solanum Tuberosum Formulated Biopolymer and Application of Artificial Neural Network in Predicting Mud Rheological Properties
AWARDS
Outstanding Delegate, NISSMUN 2012