Skip to content
View g626s's full-sized avatar
:octocat:
Focusing
:octocat:
Focusing

Block or report g626s

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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

πŸ’» IDE | Editors

VS Code Jupyter Notebook CodePen

πŸ“š Frameworks | Libraries | Platforms

Pandas Numpy Plotly Leaflet

scikit-learn SKForecast

HTML5 CSS3

πŸ“‹ Languages | Databases

Python Javascript

PostgreSQL SQLite

πŸ“Š Analytics

Tableau

GitHub Details

Stats

g626s's github stats

Streak

g626s's github streak

Summary

g626s's github summary


Where to find me

Website

Contact me

Gmail Badge

Safe

(Back to top)

Pinned Loading

  1. Great_Resignation_Analysis Great_Resignation_Analysis Public

    Forked from marcpalumbo/Great_Resignation_Analysis

    Jupyter Notebook

  2. 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

  3. 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

  4. Mapping_Earthquakes Mapping_Earthquakes Public

    Created a geographical visualization to map earthquake data by latitude and longitude from the USGS with Leaflet.js Application Programming Interface(API).

    JavaScript