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paulinebanye/README.md

Who I am:

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 user’s perspective, which eventually sparked my interest in Quality Assurance testing.


What I Do:

Data Science Expertise

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? 😏), and bring data stories to life through visuals. Quite simply, I:

Data Science GIF
  • Convert raw data into meaningful insights
  • Build predictive models using machine learning algorithms.
  • Create visualizations to tell compelling data stories.
  • Apply statistical analysis to validate findings.
  • Use historical and current data predict future outcomes.

Quality Assurance Testing

I'm a Software QA Tester who’s basically the bug detective behind the scenes. I break things (on purpose! πŸ˜‚) so users don’t 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:

  • Run both manual and automated tests using tools like Cypress to catch bugs before users do
  • Use Postman and Cypress to automate API checks in CI/CD pipelines.
  • Stress test apps with JMeter to see how they perform under pressure.
  • Perform API and end-to-end testing to make sure there is complete test coverage.
  • Identify and report any usability and accessibility issues that would affect the user experience
QA process

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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Data Projects

  • 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.

    Bengaluru House Prediction

  • Superstore Analysis

    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.

    Superstore Analysis

  • 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.


Software QA Projects

  • 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.

  • 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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Languages - Tools πŸ“š

Excel Tableau Power BI Kaggle

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Technical Skills πŸ’Ό

Appium Cypress Django FastAPI JMeter Google Colab Jupyter TensorFlow PyTorch Scikit-learn Pandas MongoDB


GitHub StatsπŸš€

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Programming Stack πŸ’»

Top Languages
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Streak πŸ”₯

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Contributions πŸ‘·πŸ»β€β™€οΈ

my contributions
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Trophies πŸ†

my trophies

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If you want to hire me or just chat, reach out!

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  1. bengaluru_prediction bengaluru_prediction Public

    This project focuses on building a predictive model to predict house prices in Bengaluru, India by preparing the dataset, performing exploratory data analysis, and applying advanced machine learnin…

    Jupyter Notebook