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Achievement: Pull Shark

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Duella12345/README.md

Hi 👋, I'm Belinda Armstrong

A passionate Software Engineer from the UK. In this role have worked with Java, Spring, Kafka, Neo4j, Docker and K8s to name a few things. I graduated from the Open University with a Bachelors of Science in Mathematics and have worked on a number of data science and software projects as I rotated around BT on the Graduate Scheme, as a Software Engineer and on various courses including the Udacity Data Scientist course. I enjoy problem solving and have a passion for data science and artificial intelligence. I am continually working to learn more in these areas. I have an analytical mindset and a sound mathematical and statistical knowledge gained from my mathematics degree. I have experience of gathering, analysing, and presenting data to managers and working with and presenting data as part of my degree.

  • 🔭 I’m currently working on building up my Github profile with data science and software projects

  • 🌱 I’m currently learning about Testing and ISTBQ Foundation Certificate and Hacktober

  • 👯 I’m looking to collaborate on any of the presented projects and am open to other projects

  • 🤝 I’m looking for help with creative data visualisations to be displayed on a website

  • 👨‍💻 All of my projects are available at https://github.com/Duella12345

  • 💬 Ask me about anything data science or software related!

  • 📫 How to reach me connect on LinkedIn

  • ⚡ Fun fact I love jellyfish and enjoy knitting, painting and paddleboarding when I am not coding.

Connect with me:

belinda-codes belindaa

Languages and Tools:

aws bash css3 d3js django docker elasticsearch figma flask flutter gcp git go heroku html5 hugo java javascript kafka kibana kotlin kubernetes linux matlab oracle pandas python pytorch scikit_learn seaborn spring tensorflow unreal

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  1. Data-Science Data-Science Public

    Exploratory Analysis (EDA), Prediction (Regression), Prediction (Classification), Cluster analysis, Recommender systems and NLP

  2. Full-Stack Full-Stack Public

    Vue