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KoketsoMangwale/ReadMe.md

💫 About Me:

🎥 I’m currently working on: Developing my skills in data analysis, machine learning, and cloud architecture, with a focus on AWS and Power BI.

👥 I’m looking to collaborate on: Projects around data-driven solutions, human-centered design, and innovative tech products.

🤝 I’m looking for help with: Growing my expertise in advanced machine learning techniques.

🌱 I’m currently learning: Power BI for the PL-300 exam, AWS Cloud Practitioner and Solutions Architect tracks.

💬 Ask me about: Data analysis, HR payroll systems — I’m always happy to share knowledge and experiences.

⚡ Fun fact: When I’m not decoding data, you’ll find me moving or getting my hands dirty with vegetable container gardening — because balance is everything..

🌐 Socials:

Medium

💻 Tech Stack:

Markdown Python AWS Anaconda AmazonDynamoDB AmazonS3 AmazonCloudFront

MicrosoftSQLServer Canva Matplotlib NumPy Pandas scikit-learn GitHub Power Bi

📊 GitHub Stats:



🏆 GitHub Trophies

✍️ Random Dev Quote

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  1. aws-iot-smartwatch-metrics aws-iot-smartwatch-metrics Public

    An event driven backend that generates and publishes smartwatch health metrics (heart rate, temperature, SpO₂) to AWS IoT Core. Useful for testing IoT pipelines, analytics, and real-time data proce…

    1

  2. Prosper-Loans-Data Prosper-Loans-Data Public

    Exploring and visualizing the loans data from Prosper from Quarter 4 of 2005 to Quarter 1 of 2014 in the USA. This will include communicating findings from univariate , bivariate and multivariate e…

    HTML

  3. We-Rate-Dogs We-Rate-Dogs Public

    Gather data from various sources(csv, web scrape, json) and wrangle the data. Analysis and visualization of the twitter dog rating

    Jupyter Notebook

  4. Landslide-Insights Landslide-Insights Public

    Analysis of landslide data 1924 - 2019 using geopandas

    Jupyter Notebook

  5. We-Buy-Cars We-Buy-Cars Public

    Data analysis of second-hand hatchback vehicles from the WeBuyCars dealership in South Africa, using Python to scrape data, perform an initial assessment, and analyze the market.

    Jupyter Notebook

  6. Cancer-Patients Cancer-Patients Public

    Descriptive and Statistical Analysis on the Cancer Patients dataset

    Jupyter Notebook