Bachelors of Science in Geophysics

University of Lagos | 2017 - 2024

CGPA: 4.07/5.00

• Course works: Geographic Information Systems(GIS), Geothermal Energy
• Demonstrated effective teamwork and leadership skills

Millenium Fellowship

Emerging Technologist | August - December, 2023

United Nations Academic Impact and Millenium Campus Network

• 44,000+ student leaders from 3,300+ campuses across 170+ nations applied to join the Class of 2023. 260+ campuses worldwide (just 9%) in 38 countries were selected to host 4,000+ Millennium Fellows for the Class of 2023.
• Developed strong leadership, management, and fundraising skills, fostering effective team dynamics and ethical decision-making while focusing on community impact and service.

Meet the 2023 millenium fellows

Student Energy Fellowship

Project: Flair | March - October, 2023

Distinction Award

• I developed skills in strategic planning, project management, and urban energy.
• I gained expertise in community engagement, technological innovation, and budget management.
• I also learnt fundraising, marketing, and climate awareness with a focus on health systems.

Meet the 2023 fellows

Nanodegree Program in Data Analysis

Udacity | May - August, 2022

• Successfully collected, cleaned, and transformed data from diverse sources. Employed advanced techniques to ensure data quality and integrity, and effectively communicated insights through data visualizations and analysis.
• Conducted comprehensive exploratory data analysis on Energy access and consumption dataset using Python. Developed insightful presentations with explanatory plots to effectively communicate key findings.

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Applied Data Science II: Machine Learning & Statistical Analysis

World Quant University | June, 2021

• Developed machine learning models using scikit-learn to predict nursing home fines based on US inspection data, demonstrating proficiency in data preprocessing (imputing missing values, feature engineering, and encoding categorical data).
• Developed natural language processing expertise by training machine learning models to predict Amazon review ratings based on text. Conducted in-depth analysis to identify highly polar words that significantly influence model predictions.

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Applied Data Science I: Scientific Computing & Python

World Quant University | December, 2020

• Successfully applied Python to read, clean, process, and analyze real-world data.
• Utilized statistical analysis and hypothesis testing to determine the statistical significance of analytical results.
• Implemented various data wrangling techniques, such as joining data sets, splitting data, and aggregating data.
• Employed object-oriented programming to create a class representing geometric points and implement a K-means clustering algorithm.
• Utilized the pandas library for data analysis on a prescription drug dataset, identifying trends and patterns.

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IBM Data Science

IBM on Coursera | December, 2020

• I've become proficient in web scraping, data analysis, machine learning, and data visualization using Python and SQL.
• I can effectively analyze data, build predictive models, and communicate insights through compelling visualizations.
• Developed a strong understanding of data science methodologies and tools.
• Gained practical experience in applying data science concepts to real-world problems.

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