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KoketsoMangwale/ReadMe.md

πŸ’« About Me:

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

πŸ‘₯ 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.

πŸ’¬ Ask me about: Data analysis, HR payroll systems β€” 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 β€” because balance is everything.

🌐 Socials:

Medium

πŸ’» Tech Stack:

Markdown Python AWS Anaconda AmazonDynamoDB MicrosoftSQLServer Canva Matplotlib NumPy Pandas scikit-learn GitHub Power Bi

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

✍️ Random Dev Quote


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  1. Domestic-Overnight-Stays Domestic-Overnight-Stays Public

    South Africa Domestic Overnight Stays Reporting: Using Power BI to prepare data for analysis, modeling the data and creating reports and dashboards.

  2. Cancer-Patients Cancer-Patients Public

    Descriptive and Statistical Analysis on the Cancer Patients dataset

    Jupyter Notebook

  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. 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

  6. Soccer-Analysis-European-08-to-16 Soccer-Analysis-European-08-to-16 Public

    Investigating the soccer database with various datasets with data from several European countries from 2008 to 2016. Project 1 - Investigate a dataset - Data Analysis Nanodegree (DAND)

    Jupyter Notebook