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Derek's Data Analytics Portfolio

Welcome to my GitHub profile! I'm Derek, an aspiring Data Analyst with a passion for learning about and harnessing the power of technology and data to drive insights and innovation. This repository serves as a portfolio for the many projects I've worked on thoughout my educational and professional journey into the world of data analytics.

About Me

Educated professional with a bachelor's degree in Biology and almost of decade of prior work experience in the insurance, customer service, healthcare, and most recently the research and development sectors. Currently working on acquiring a Masters Degree in Data Analytics.

Contact Me

Feel free to explore my projects and reach out to me if you have any questions or collaboration opportunities!

Derek Graves's Projects

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Web Mining Project 7: Showcasing Web Mining and NLP techniques using a news opinion piece article.

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This project showcases a PyShiny App using the Palmer Penguins Dataset

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This project demonstrates the use of a reactive-calc function to build a reactive application in the form of a dashboard

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Project displaying a PyShiny Palmer Penguins app with customization

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Project 5: Interactive real-time Arctic Dashboard with Continuous Intelligence

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Project 6: Custom NBA Shiny application showcasing continuous intelligence and interactive analytics

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Module 7: Demonstrates use of GitHub issues to collaborate and work on/close issues in a project.

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This project demonstrates the use of Jupyter notebooks to generate data stories. The project includes a project virtual environment with popular libraries for data analytics including pandas, matplotlib, and seaborn, and introduces a common process for starting exploratory data analysis projects.

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This is the Project for Module 5, which integrates Python and SQL using the SQLite database engine to introduce logging and creating and managing a database, building a schema, and performing various SQL operations.

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Project 6 demonstrates the creation of a custom exploratory data analysis (EDA) project using GitHb, Git, Jupyter, pandas, Seaborn, and other popular analytics tools.

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This project showcases the use of APIs and functions to read, write, save lyrics to a file, and use sentiment analysis in the form of polarity scores.

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This project is a simple guided machine learning application using Jupyter Notebooks a dataset.

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Lab that uses Jupyter Notebooks that showcases working with a dataset in preparation for machine learning

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