Data Scientist | Data Analyst | Machine Learning
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AfriMarket-Risk-Insights
July 12, 2025 – July 12, 2025
A data analytics project for AfriMarket, a fictional e-commerce platform, focused on detecting review fraud, profiling risky sellers, and uncovering delivery inefficiencies in Nigeria and Ghana. Built to support a robust seller trust framework through data-driven insights.
View ProjectCoffee-Shop-Sales-Analysis
July 8, 2025 – August 9, 2025
Exploring transaction-level sales data from a fictional coffee shop chain to uncover trends in revenue, product performance, and customer purchasing behavior using Excel.
View ProjectSuperstore-Sales-Analysis
May 31, 2025 – August 9, 2025
Analysis of sales, profit, and order trends for a fictional superstore across different regions, categories, and time periods.
View ProjectE-Commerce-Sales-Analysis
May 31, 2025 – May 31, 2025
Analyzing sales data to identify top-selling products, seasonal trends, and customer purchasing behavior.
View ProjectMaji-Ndogo-Project
April 11, 2025 – August 9, 2025
A Power BI data analysis project focused on improving water access in underserved areas. Developed as part of the ALX Data Science program to showcase skills in data cleaning, modeling, and visualization.
View ProjectLearning-and-Adaptive-Sys-CAT-1
March 28, 2025 – March 28, 2025
Learning-and-Adaptive-Sys-CAT-1 — Dev.to repository
View ProjectDeep-Learning-for-Powdery-Mildew-Detection-in-Mango-leaves
March 11, 2025 – April 12, 2025
About This project leverages Deep Learning to detect Powdery Mildew disease in mango leaves using Convolutional Neural Networks (CNNs). The model is trained on an image dataset of healthy and infected leaves, enabling automated early disease detection to support farmers in managing crop health.
View ProjectMovie-Recommender-System
March 5, 2025 – March 5, 2025
A machine learning-based movie recommendation system that suggests movies based on user preferences. It uses collaborative filteringtechniques to provide personalized recommendations.
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong interest in data science and analytics, aligning with the target role. However, the projects are all personal and lack diversity in team collaboration or real-world business impact, which might indicate a need for development in a collaborative professional environment. The absence of professional experience or certifications limits the assessment of cultural fit beyond individual project initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.