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g626s/README.md

Marketing | Data Analytics

Los Angeles, Ca.


About

I have a love and passion for exploring numbers, data, trends and uncovering useful insights to drive efficiency. Having the knowledge, experience and applicable analytical skills is an essential foundation for narrowing the distance of data and information to consumers through measuring and optimizing digital experiences in the digital advertising and marketing space. I always look forward to collaborating and learning from others. Excited to put my skills to use in an impactful role where I feel that I'm making a real difference in my industries of interest.

Workspace

๐Ÿ’ป IDE | Editors

VS Code Jupyter Notebook CodePen

๐Ÿ“š Frameworks | Libraries | Platforms

Pandas Numpy Plotly Leaflet

scikit-learn SKForecast

HTML5 CSS3

๐Ÿ“‹ Languages | Databases

Python Javascript

PostgreSQL SQLite

๐Ÿ“Š Analytics

Tableau

GitHub Details

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Summary

g626s's github summary


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  1. Ableton-Aboutpage-Clone Ableton-Aboutpage-Clone Public

    A front-end project to recreate the Ableton website using React and Vite. This project focuses on mastering typography, spacing, grid layouts, and multi-column footers while incorporating event lisโ€ฆ

    JavaScript

  2. Great_Resignation_Analysis Great_Resignation_Analysis Public

    Forked from marcpalumbo/Great_Resignation_Analysis

    Jupyter Notebook

  3. Cryptocurrencies Cryptocurrencies Public

    Analyze a dataset of cryptocurrencies to uncover hidden trends that can lead to great investment opportunities. Used unsupervised algorithms. Worked primarily with K-means algorithm.

    Jupyter Notebook

  4. Credit_Risk_Analysis Credit_Risk_Analysis Public

    Incorporation of Python to build and evaluate several machine learning models to predict credit risk. Use of the Scikit-learn machine learning library to create machine learning models .

    Jupyter Notebook