Graduate Intern, OGFZA

Driven Mechanical Engineering graduate with interest in machine learning algorithms, linear and non linear regression systems who's prepared to contribute abilities to any given role while further developing acquired skills and gaining real-world experience. Highly organized, responsible and well-versed in flow-station and gas plant overview, piping and re-sizing calculations using API standards, predictive modeling and decision analytics. Flexible and hardworking team player focused on boosting efficiency and performance with conscientious and detail-oriented approaches

Education

• Bachelor of Engineering, Mechanical Engineering
• Academic standing: 4.45/5.0 CGPA, Second Class: Upper Division|Top 9% of 86+ students.
• Focused courses include:
• Probability
• Statistics in General Mathematics
• Structured Computer Programming
• Engineering Mathematics
• Machine Design
• Control Systems Engineering
• Introduction to Robotics

Work Experience

Skills

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