ABAYOMI ABIODUN
Email:-in: Abayomi Abiodun GitHub: Abayomi Abiodun Phone No: -
EDUCATION
Obafemi Awolowo University, Nigeria
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BSc. Microbiology
July 2024
PROFESSIONAL EXPERIENCE
3MTT Nigeria (Flexwork and Prepper Learning, Training Provider)
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Techy Jaunt
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October 2023 – September 2024
Data Analysis Instructor
o Tutored and Mentor 800+ amazing data analytics enthusiast's students on the use of data analytics tools such
as Microsoft Excel, Spreadsheet, Python, PowerBI, and MySQL to help businesses make data-driven and inform
decision.
Womenpreneurng
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October 2023 – September 2024
Data Analytics Instructor
o Mentored 30 data fanatics ladies on the use of data analytics tools for helping businesses to make informed
decisions from data.
April 2022 – September 2022
Quantium
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October 2023 – November 2024
Data Science Instructor
o Tutored 50+ students on data science fundamentals, emphasizing practical applications and tools proficiency.
o Instructed students in the use of Python Programming language for building machine learning and AI model for
prediction.
Retail Analyst
o Participated in the open access Quantium Virtual Experience Program with Forage to analyse chip’s dataset for
category manager of chip sales to make informed decision.
o The result escalates the sales of chips by 30%.
Sep 2022 - August 2023
IJAN AFRICA
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Data Analytics Instructor
o Empowered over fifty students to leverage data for actionable insights and informed decision-making.
o Improved their data analytical skills by 50%.
June 2021 – August 2021
Hamoye
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Data Analyst
o Led a team of four data analyst interns at Hamoye to work on data analysis project.
o Enhance the communication, collaboration and teamwork spirit of my team by 60%.
VOLUNTEERING EXPERIENCE
Microsoft
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October 2022 - Present
Microsoft Most Valuable Professional & Student Ambassador
o Awarded Microsoft Most Valuable Professional for expertise in Excel and Python, contributing to the Microsoft
community.
o Mentored 500+ students in Microsoft technologies and career development in tech and data
DSNai – Data Science Nigeria
● Data Science (Machine Learning & AI)
● Developed machine learning models for various applications:
December 2020 – November 2024
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Road Pothole Detection: Predicted the presence of potholes in road images from South Africa.
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Economic Well-Being Prediction: Assessed wealth measures across African regions using spatial and
demographic data.
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Car Price Prediction: Modelled car prices based on factors like location, maker, model, and other features.
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Sentiment Analysis: Built a model to classify Twitter posts on vaccinations as positive, neutral, or
negative.
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Sapa Customer Response Prediction: Forecasted user responses to marketing campaigns based on the
features using engineered datasets.
Google Developer Student Clubs
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August 2023 – July 2024
Data Science/Machine Learning Lead & Campus Lead
o Hosted virtual sessions and bootcamp to get student started in the use of Python Programming and Machine
Learning
o Led a team of 30, expanding a community to over 2,000 students and increasing technology adoption by 50%
SKILLS
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Programming: Python (Pandas, NumPy, Matplotlib, Textblob, Wordcloud, Plotly, Seaborn, Beautiful Soup), R, DAX,
SQL.
Spreadsheets and Data Visualization Tools: Microsoft Excel, Google sheets, Tableau, PowerBI.
Machine Learning: Regression analysis.
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Soft Skills: Decision making, Written and verbal communication, Team management, Attention to details,
Proactiveness, Problem Solving Skills, Research, Presentation skill.
PROJECT
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Chips Sales Insight: Analysis of Quantium chips sales data for effective sales.
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Sales Insight : Analysis of sales of various products to understand the structure of market towards the sales of some
certain product.
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Sales Dashboard: Sales analysis of beverages.
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Benign or Malignant Detection in Mammogram: Developed a mode by implementing various supervised techniques
to predict the severity of mammography mass, adopting standard scaler as feature engineering techniques improve
the accuracy score of the model and further deployed using Streamlit .
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Diabetes Prediction App : Built a model that can predict, if a patient is going to have diabetes or not based on some
features of the dataset used for building the model.
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Language Translator App: A web application used for language translation.
ADDITIONAL INFORMATION
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Interests: Highly interested in working with numbers and deriving insight to improve business informed decisionmaking
Certificates & Achievements: Google Data Analytics Professional (Coursera), Python 3 (Solo Learn), SQL (Solo learn),
Web scraping: Python Beautiful Soup Web Scraping Boot Camp (Udemy), Data Analysis Real-World Project (Udemy)
