Car Price Prediction Web App
Summary
Developed an end-to-end machine learning pipeline leveraging Python, Scikit-learn, and Flask to predict car prices.
About
High-achieving Computer Engineering undergraduate (First Class, CGPA: 4.88/5.0) with robust hands-on experience in data analysis, machine learning, and Python development. Adept at building interactive dashboards, applying supervised learning algorithms, and extracting actionable insights from complex datasets to solve real-world problems. Passionate about leveraging data science and AI to drive innovative solutions and contribute to impactful projects within the target industry.
Education
Ladoke Akintola University of Technology
Ogbomoso, Oyo State, Nigeria
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Bachelor of Technology (In View)
Computer Engineering
Grade: Current CGPA: 4.88/5.00 - First Class
Awards
MTN Foundation Scholarship
Awarded By
MTN Foundation
Awarded for outstanding academic performance, recognizing exceptional scholastic achievement.
Languages
English
Skills
Programming & ML
Python (Pandas, NumPy, Matplotlib), Linear Regression, Logistic Regression, Support Vector Machines (SVM), Scikit-learn.
Data & Analytics
Microsoft Excel (Advanced), Pivot Tables, Dashboards, Charts, Data Cleaning & Manipulation, Data Visualization, Statistical Analysis.
Tools & Other
Microsoft Office Suite, SEO Fundamentals, Analytical & Problem-Solving, Written & Verbal Communication.
Interests
Data Science
Machine Learning
Data Analysis
Data Visualization
Projects
Healthcare Analytics Dashboard
Summary
Built an interactive Microsoft Excel dashboard for analyzing patient demographics and healthcare trends.
E-commerce Sales Dashboard
Summary
Designed a multi-dimensional sales performance dashboard using Microsoft Excel.