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melindamalone/README.md

Hello, I'm Melinda, and welcome to my GitHub profile👋

About Me

At this moment, I am in pursuit of Data Analyst and Business Analyst roles in Austin, TX, or remote opportunities. My preferred on-the-job technologies are SQL, Python, and Tableau. Please check out my GitHub Repositories to further understand additional technologies I’m experienced in using. If you have any questions or would like to connect, please email me, or reach out on LinkedIn!

What I enjoy the most is structuring complexities and organizing details into interactive reports, visualizations, and presentations for my stakeholders and making educated business decisions. Working with large and complex datasets is exciting for me because I'm undeniably driven by facts and data to make decisions in all aspects of my life especially in business. Also, as an analytical and strategic problem-solver, leader, and collaborator with an investigative curiosity, I strive to understand processes in their entirety to either suggest or create methodologies from scratch for the development and continuous improvement of operational processes.

Education and Certifications

Professional Affiliations

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  1. ilaha/Austin_AniML_Rescue ilaha/Austin_AniML_Rescue Public

    This repository contains a Machine Learning project to analyze Austin Animal Center's data

    Jupyter Notebook 4 1

  2. belly_button_biodiversity belly_button_biodiversity Public

    This repo contains an interactive web data visualization created using Plotly.js, a JavaScript data visualization library, HTML, and basic JavaScript. D3.json() was used to fetch external data such…

    JavaScript

  3. bikesharing bikesharing Public

    The purpose of the Bike-Sharing Analysis is to utilize Tableau to create data visualizations and present the data in a series of worksheets, dashboards, and stories to determine if a bike-sharing s…

    Jupyter Notebook 1

  4. Credit_Risk_Analysis Credit_Risk_Analysis Public

    This repo features Supervised Machine Learning and its use in data analytics by analyzing credit card risk. Logistic Regression, Decision Tree, Random Forest, and Support Vector machine algorithms,…

    Jupyter Notebook