Sulaiman Ibigbami

SULAIMAN IBIGBAMI # (- _- + Alagbado, Lagos, Nigeria EDUCATION ACHIEVEMENTS B.Sc Mechanical Engineering UNIVERSITY OF IBADAN GPA ~ 2015 - 2020 + Nigeria  6.1 / 7.0 WORK EXPERIENCE (Scholarship award for top 300 undergraduates in STEM fields in Nigeria) Wireline Intern ~ 10/2018 - 04/2019 + Port Harcourt, Rivers State World's Leading Provider of Oilfield Services and Equipment - Actively participated in carrying out pressure test operations, as well as quality checks, to ensure the 100% conformity of field equipment to standard operational requirements. - Presided over routine hazard hunts, and experienced a 60% increase in the generation of Risk Intervention Reports (RIRs) and delegated duties to no less than 15 interns. Schlumberger Engineering Intern Fidson Healthcare Scholarship: MTN Science and Technology Foundation Scholarship ~ 03/2018 - 05/2018 + Ota, Ogun State  Recipient, Dean's Honors Award, Faculty of Technology, University of Ibadan PROJECTS Kaggle Workflow Personalized efficient workflow for making accurate predictions on data. Nigeria's Leading Pharmaceutical Manufacturing Company - Facilitated the deployment of 8 Air Handling Units (AHUs) to provide adequate ventilation, and accomplished an estimated 20% heat reduction in factory building. - Co-operated and worked with a team of 5 members to conduct preventive maintenance at the utility section and achieved a 95% equipment up-time. Mobile App for Lottery Addiction VOLUNTEER ROLES Spam Filter Aimed at Reducing Lottery Addiction - Successfully created the logical core of an application for calculating probabilities using statistical concepts with a 100% accuracy. - Member Tech Quest ~ 09/2019 - 02/2020 Educated and sensitized over 4500 secondary school teachers and students across 3 states in Nigeria about the importance of STEM (Science, Technology, Engineering, Mathematics) education. Predicting House Sales Prices - Community Outreach Associate Code Yellow, Beyond School ~ 11/2019 - 02/2020 Actively tutored over 250 secondary school students especially on Leadership and Goal setting. Team Member Generated an algorithm by utilizing the Multinomial Naïve Bayes theorem, trained the algorithm to be able to classify spam messages and achieved a 98.74% classification accuracy. - Trained 3 machine learning models on sales data using logistic regression, linear regression and decision trees to predict the rise of house prices in a developing neighborhood. Achieved a 81.34% accuracy on new data, through various hyper-parameter optimization techniques. TRAINING / COURSES Green Cycle, Beyond School ~ 11/2019 - 02/2020 Collaborated with a team of 12 engineering students, and successfully revamped a faulty solar power system in the University of Ibadan community. Soft Skills Training CERTIFICATIONS SKILLS Energy Transition: Innovation Towards a Low-Carbon Future IFP School, France Enterprise Systems (ES) Fundamentals with SAP SAP University Alliances Video Games Predictive Modelling Deep Learning l Financial Literacy Crime Fiction SQL Data Cleaning Python Statistics LANGUAGES English M Data Visualization Exploratory Data Analysis Machine Learning HOBBIES & INTERESTS N JobberMan Arabic Native Advanced