Ever wondered how it feels to predict the future using data? That curiosity led me to Data Science. My journey began with an internship focused on machine learning models for drug discovery. That first experience sparked a passion that still drives me today.
My journey as a Tester began with a previous role. As a Backend Developer on the ZuriChat project, I periodically reviewed our software to assess its functionality and provide detailed reports on all the bugs found. I loved viewing the software from the userβs perspective, which eventually sparked my interest in Quality Assurance testing.
I'm a Data Scientist who loves turning messy data into clear, useful insights. I dig into data to find patterns, build smart models that can make relatively accurate predictions (i.e. is Arsenal going to win their next match? π), and bring data stories to life through visuals. Quite simply, I:
I'm a Software QA Tester whoβs basically the bug detective behind the scenes. I break things (on purpose! π) so users donβt have to. From manual test cases to automated scripts, I make sure every click, tap, and swipe works smoothly, before anyone else sees the mess. As a Software QA Tester, I:
I've learned that success in both fields requires more than technical skills. It's about asking the right questions, thinking creatively, and effectively communicating complex ideas.
But my life isn't all about coding. I love going on adevntures and playing games! In my spare time, if I'm not playing a game like CODM, you'll probably find me hosting games night!
I also volunteer, and contribute actively to open source projects, so if you have an amazing project, reach out, let's collaborate 
Click me!
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Bengaluru House Price Prediction
The Bengaluru House Price Prediction project uses machine learning to predict house prices in Bengaluru, India. It analyzes various features such as location, size, and amenities to provide accurate price estimates for potential buyers and sellers.
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The Superstore Analysis project studies retail data from a store to identify trends in sales, profits, and customer behavior. It provides insights that can improve inventory management, marketing strategies, and regional performance.
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Maji Ndojo Water Analysis
This project is an analysis of the Maji Ndojo dataset, which contains information about water quality and availability in various regions. The analysis provides insights into the water quality and availability in the rural and urban regions, and identifies areas where people struggle to get clean water. The goal is to use the information to help improve water access in these communities.
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Remote Bingo Project
Remote Bingo is an online platform that allows users to create and join virtual Bingo games, offering real-time participation and a user-friendly experience across devices.
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HNG Boilerplate Project
HNG Boilerplate is a pre-configured starter template that helps developers quickly set up scalable web applications with essential tools for testing, linting, and deployment.
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