MSc Data Science | Pan Atlantic University (2024-2025) |
BSc Management Information System | Covenant University (2017-2022) |
For this project, I developed and deployed a fraud classification model using multiple machine learning models, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Naïve Bayes, Multi-Layer Perceptron (MLP), and XGBoost.
Key Steps:
As part of the HNG data analytics internship, we were tasked with exploring a dataset and writing a technical report based on our findings. I chose the Retail Sales Dataset available on Kaggle, and the goal was to examine the data, identify initial trends, and communicate these findings effectively. This report presents my observations and initial analysis using a Tableau dashboard created to visualize the key aspects of the data. Retail Sales Data Analysis
Video Games Sales Analysis Dashboard.png
My portfolio delves into the analysis of the video game industry, exploring various dimensions such as top publishers by sales, global sales trends over the years, and detailed sales distribution across different platforms and regions including Europe, North America, and Japan. Through this analysis, I provide insights into market dynamics, platform preferences, and regional variations. [Publication](https://www.mdpi.com/1424-8220/22/8/3048)
The Legal Services Analysis dashboard shows the data of a sample company which specialises in legal services. Legal Services Analysis
Within this section of my portfolio, I present a detailed analysis of accident data, covering various dimensions such as accident severity, date, month, and year of occurrence, geographical location (latitude and longitude), light conditions, district area, number of casualties and vehicles involved, road surface conditions, road type, urban or rural area classification, weather conditions, and vehicle type. By examining these variables, I offer valuable insights into the patterns and factors contributing to accidents, facilitating a deeper understanding of road safety dynamics. This analysis aims to inform policy-making, urban planning, and public safety initiatives by identifying trends, risk factors, and potential interventions to mitigate the impact of accidents on communities and individuals.
https://bit.ly/3uZrrTk
Within this section of my portfolio, I delve into the detailed analysis of coffee sales data, encompassing various aspects such as product ID, coffee type, roast type, size… This analysis provides valuable insights for coffee businesses, retailers, and distributors to optimize their product offerings, pricing strategies, and marketing initiatives, ultimately enhancing customer satisfaction and driving business growth within the coffee industry.
https://bit.ly/3IyZ0Pe
https://github.com/Tsemaye/SQL
This portfolio section showcases a series of SQL queries and data analysis techniques applied to employee demographics and salary data. The queries retrieve specific subsets of data, perform data manipulation and aggregation, and utilize functions like JOIN, GROUP BY, and CASE statements to derive insights such as age distributions, gender ratios, job title frequencies, and salary adjustments. Through these queries, the portfolio demonstrates proficiency in SQL query writing, data filtering, aggregation, and transformation, highlighting the ability to extract meaningful insights from datasets and support data-driven decision-making processes.
Partner Support Volunteer @ YouVersion (June 2024 - Present)
Provided technical support to YouVersion users around the world, helping them navigate the Bible app and deepen their faith.
Troubleshooted app issues and answered user questions in a clear, concise, and patient manner.
Contributed to a positive user experience by ensuring users could effectively utilize YouVersion’s features for daily Bible study and devotionals.
Supported a diverse community by providing technical support to diverse cultures to help them navigate the Bible app and deepen their faith.
NYSC Basic Technology Instructor/Teacher @ Government of Nigeria - NYSC (June 2022 - May 2023)
Cultivated a positive and collaborative classroom environment, promoting a conducive learning atmosphere.
Delivered comprehensive instruction to over 200 students on basic technology concepts and skills.
Collaborated with colleagues and parents, facilitating effective communication and contributing to student development.
Guided students in utilizing educational websites and search engines for homework and projects.
Administrative Intern @ Quantum Business School (June 2020 - Nov 2020)
Isaiah 60