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Oreoluwa Oyeleye

@oreoluwaoyeleye

Aspiring data scientist building machine learning applications, including a Nigerian property price predictor with XGBoost.

Nigeria
Message

I built an end-to-end house price prediction system using an XGBoost model to predict Nigerian property prices, with a FastAPI backend and Streamlit frontend. I also created a real-time fraud detection system that flags suspicious transactions using Isolation Forest.

My projects include an e-commerce sales and profit dashboard with dynamic filtering and downloadable reports, and a web service for job market analysis and salary prediction. I’m studying Computer Science at Covenant University and have completed training in Python and machine learning.

Experience

Work history, roles, and key accomplishments

SM
Current

Volunteer

SetApart Children Ministry

Aug 2020 - Present (6 years 2 months)

Collaborated with brands, partners, and sponsors for the foundation. Assisted in planning and organizing the annual camp week.

CC

Volunteer

College Week Committee

May 2025 - May 2025 (0 months)

Worked with the logistics team to organize locations and assists from the university. Helped in engaging the crowd and ensuring order during events.

Education

Degrees, certifications, and relevant coursework

DA

DataCamp

Data Analyst Associate Track, Data Analysis

2025 -

Ongoing track for Data Analyst Associate.

UD

Udemy

The Complete Python Developer, Python Development

2025 -

Ongoing course on The Complete Python Developer.

CU

Covenant University

Bachelor of Sciences, Computer Science

Grade: First Class

Bachelor of Sciences in Computer Science with First Class standing, expected to graduate in July 2027.

OU

OBTranslate, Covenant University

Prompt Engineering, Prompt Engineering

2025 - 2025

Learned prompt engineering through experimental activities on different AIs, with projects revolving around personal and AI growth through prompting.

CU

Covenant University

Advanced Python with Machine Learning, Machine Learning

2025 - 2025

Completed a comprehensive training in Advanced Python with Machine Learning, including daily assessments, projects, and a project defense.

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