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Achievements

Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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Mr-Mens/README.md

I’m a Data Scientist and Software Engineer with a passion for AI, machine learning, and building smart, scalable applications. With an MSc in AI & Data Science, I’ve spent my career exploring how data and AI can drive meaningful impact—whether it’s through developing machine learning models, optimising data pipelines, or creating full-stack AI-powered applications. I enjoy solving complex problems, working on exciting AI/ML projects, and collaborating with others who love tech as much as I do. If you’re working on something interesting in data science, AI, or software engineering, let’s connect!

📫 Reach me at: philipmensah@me.com

Programming Languages

Python JavaScript TypeScript MySQL Matlab

Others

React Next.js Node.js Tailwind CSS Django ApacheSpark CSS HTML Pandas Tableau Powerbi Adobe Photoshop VS Code Git SEO

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  1. Generative-Ai-Data-Science-Tutor Generative-Ai-Data-Science-Tutor Public

    I integrated a fine-tuned OpenAI GPT-4o mini model into a full-stack application, leveraging prompt engineering techniques to optimise the chatbot’s interactions, enabling the chatbot to function a…

    Python

  2. Big-Data-Course-Work Big-Data-Course-Work Public

    In this project, we aim to explore and analyze large datasets using various big data technologies and techniques. Our goal is to gain insights and extract valuable information from the data to solv…

    HTML

  3. Analyzing-Wikipedia-Clickstreams-with-PySpark-Project Analyzing-Wikipedia-Clickstreams-with-PySpark-Project Public

    This project focuses on analyzing Wikipedia's clickstream data to uncover patterns in how users navigate from one article to another. Utilizing Apache Spark and PySpark for data manipulation and an…

    Jupyter Notebook 1

  4. Machine-Learning-Clustering-Project Machine-Learning-Clustering-Project Public

    This project utilizes machine learning to identify clusters within a dataset related to heatstroke risk factors. Specifically, it focuses on two main features: heart rate variability mean (hrv_mean…

    Jupyter Notebook

  5. Recommender-System Recommender-System Public

    This repository contains code for a simple movie recommender system built using the Python library Surprise. The project demonstrates how to implement and evaluate recommender systems using differe…

    Jupyter Notebook

  6. NLP-Machine-Learning NLP-Machine-Learning Public

    This tutorial introduces basic Natural Language Processing (NLP) techniques using PySpark. The focus is on preprocessing text, converting text into numerical form, and applying a regression classif…

    Jupyter Notebook