SULAIMAN IBIGBAMI
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+ 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.
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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
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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.
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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
