Johnson Adebayo
Data Scientist
18, Oladiran Farodoye Street, Peace Estate, Gbagada, Lagos, Nigeria.
-, --,-https://github.com/jhonsphorus
https://rpubs.com/Jhonsphorus
https://www.linkedin.com/in/johnson-adebayo
https-
CAREER SUMMARY
Enthusiastic data scientist with 5+ years of experience that cut across oil and
gas, education and analytics, eager to contribute to team success through
hard work, attention to detail and excellent organizational skills. Clear
understanding of data cleaning, transformation, visualization, modeling and
petroleum production. Motivated to learn, grow and excel in data analytics.
SKILLS
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Skilled in SQL and databases.
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Data visualization and analytics using R, Python, excel and Power BI.
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Data processing using R (dplyr, tidyr etc.) and Python (Numpy etc.)
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Ability to create and deploy dashboard and application using shiny
package in R.
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Good communication skills.
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Ability to build models with machine learning algorithms (e.g. Linear
regression, logistic regression, decision tree, SVM, KNN etc.).
EXPERIENCE
Semicolon Africa, Lagos, Nigeria - Data Scientist
MARCH 2019 – PRESENT
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Collect, clean, visualize, store and model data using tools such as R,
python, Power BI and MySQL.
Build and maintain dashboards and applications using shiny and
flexdashboard (R packages).
Carry out A/B test analysis and other hypothesis testing on product
samples.
Develop chatbots that automatically interact with our clients to inform
them about our products, projects, links to dataset and business
news.
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Write queries to extract to extract data from MySQL and Microsoft
SQL Server database.
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Apply visualization techniques to assist in decision making.
Design Thinking; using Human-Centered Design approach in
developing innovative solutions that are desirable, feasible, and viable
in the marketplace.
Software Engineering; adopt software development lifecycle
principles to deploy software applications that meet industry’s
standard.
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Factual Analyst, Lagos, Nigeria - Data Analyst
OCTOBER 2017 – MARCH 2019
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Acquired and loaded dataset using packages in R and Python.
Cleaned, manipulated and transformed datasets using dplyr, tidyr etc.
Visualized data to determine trends and patterns in data using ggplot
(package in R), Power Bi, matplotlib (library in Python).
Analyzed and interpreted data.
Created models to gain useful insights into data and made informative
decisions.
Created dashboards and reports with clear visualization.
Narag Energy Solutions Limited, Lagos, Nig. - Field Production Engr.
APRIL 2015 – JULY 2017
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Managed and handled oil and gas production optimization projects.
Continuously audit client existing production data.
Liaised with customer Field Operations Managers and Production
Superintendent.
EDUCATION
The University of Reading (Henley Business School), UK
Business Management
NOV. 2019
Federal University of Technology, Akure, Nigeria
B.Eng. in Mining Engineering
OCT. 2006 – SEP. 2011
SOFTWARE
Data Science and Analytics: R (R Studio), Python (Jupyter).
Data Visualization Tools: Power BI, Tableau.
Database: MySQL, Microsoft SQL Server, Oracle.
Programming Framework(s): Django, Shiny.
Source Control: Git (GitHub).
Project Management: Trello.
Application Design: OOAD (UML).
Oil and gas Software: ECLIPSE, Petrel RE, PROSPER.
CERTIFICATIONS AND PROFESSIONAL TRAINING
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Data Analysis with Python (IBM)
Data Visualization with R (IBM)
Introduction to Machine Learning (DSN)
Python for Data Science (IBM)
ACCOMPLISHMENTS
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Headed a multi-disciplinary team of software and analytics
professionals to develop a platform for loan risk analysis.
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Developed a simple dashboard for analyzing and forecasting the
future of time series data such as company sales data, production
data, price of oil etc.
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Created chatbot (PhorusBot) to update users with links to my
projects, news, business news, dataset, etc.
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Used Shiny R package to develop data visualization and temperature
conversion application.
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Researched and suggested a lasting solution for curbing the problem
of blockage of pipelines with hydrate.
AFFILIATIONS
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Member, Lagos R User Group (RUG)
Member, Data Science Nigeria (DSN/AIPlus/2019/0320)
Member, Society of Petroleum Engineers (#-)
PROJECTS
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Timeseries_app – An application for forecasting time series dataset.
https://jhonsphorus.shinyapps.io/timeseries_app/
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Afriloan – An application for predicting the loan worthiness of
applicants.
https://phorus.shinyapps.io/Afriloan2/
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NigeriaTelecomDashboard – A web application built with shiny for
analyzing data of Nigeria Telecommunication Industry.
https://phorus.shinyapps.io/NigeriaTelecomDashboard/
