@SolomonOjeka
Data Scientist
My journey began with a deep love for mathematics — the foundation of logical thinking and problem-solving. Over time, I discovered how data science amplifies the power of math, allowing us to uncover patterns, make predictions, and create data-backed solutions. I’m particularly interested in how data analytics and mathematical modeling can support sustainable development and informed decision-making. My work explores the intersection of quantitative analysis, AI, and real-world impact. As the Co-founder of Edfrik Consult, I also help individuals and organizations build digital capacity through training and strategic data use. Through my writings and projects, I aim to make complex concepts in mathematics and data science accessible to learners and professionals alike. Follow me for insights, tutorials, and reflections on how data and mathematics can shape smarter, evidence-based solutions for the world.
data-driven projects, research collaborations, and analytics roles.
Jan 30 · 12 min read · 1. Introduction Buying or selling a car can be a challenging experience, especially when it comes to determining its fair market value. Many factors, such as the car’s age, mileage, brand, condition, and even market trends, affect its price, making m...
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Jan 16 · 14 min read · 1. Introduction Predicting housing prices has become one of the most practical and impactful applications of data science. For real estate companies, accurately estimating the value of properties is crucial for pricing strategies, investment decision...
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Nov 13, 2025 · 10 min read · 1. Introduction Population growth and land use are two of the most important factors shaping global agriculture. As the number of people in a country increases, the demand for food rises, which in turn puts pressure on available farmland. Understandi...
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Nov 1, 2025 · 11 min read · 1️⃣ Introduction If you’ve ever worked with data from the real world, like weather reports, sales figures, or survey responses, you’ve probably noticed something: real data is never perfect. It comes with missing values, messy formats, typos, and ran...
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Oct 27, 2025 · 4 min read · 🪶 Introduction Data is everywhere — from your social media feed to weather forecasts and business reports. But to make sense of it, we need tools that can efficiently store, process, and analyze large amounts of information. That’s where NumPy and P...
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