Data Science | Machine Learning Engineer | Python • SQL • Power BI • Excel

Joined July 2024
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This project transforms raw survey data from the Ghana Tech Ecosystem Survey 2025 into an actionable dashboard that provides deep insights into Ghana's technology sector. The survey captured responses from tech professionals, covering demographics, skills, tools, work arrangement
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A 99% accuracy score once made me feel unstoppable Now I know in ML, 99% often screams overfitting Here’s why learning noise beats you in the real world
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Final-year student at University of Ghana 🇬🇭 Learning that “perfect” models fail in production. Sharing wins & mistakes as I learn. Follow if you’re on the same path 👋
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What helps? Regularization A penalty for unnecessary complexity. Focus on signal > noise. Simple models survive.
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That’s overfitting. The model memorizes training data (noise outliers). New data shows up and it panics
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Think of an athlete who only trains on a flat indoor track 🏃‍♂️ Crushes practice. Falls apart on real terrain. They learned the track, not running.
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