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ludmilagd/README.md
  • 👋 Hi, I’m Ludmila Garcia
  • 👀 I’m industrial engineering with Supply Chain background with a passion in the science of using data for business decision making.
  • 👀 Skills: team leader, retail, e-commerce, IT project management, merchandising, analytics and data visualization.
  • 🌱 I’m always learning new technologies and tools to provide power, high quality and accuracy to my analytics background
  • 💞️ Currently working for Target Co as Sr Inventory Intel Manager developing tools (python) to improve efficiency in the Inventory management Operations.
  • Looking to learn more about Machine Learning and AI to be applied in Retail Indistry
  • 📫 How to reach me at ludmilagd@gmail.com

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  1. SocialMediaUsageImpact SocialMediaUsageImpact Public

    Statistical Analysis on Social Media and Suicide rates utilizing tools like python, matplotlib and pandas dataframes.

    Jupyter Notebook 1

  2. HealthRisk-Demographics-Analysis-D3-Javascript HealthRisk-Demographics-Analysis-D3-Javascript Public

    Data Analysis on demographics by US State that might be linked to various health issues. D3 JavaScript used to create a two-dimension dynamic chart

    JavaScript

  3. Machine_Learning_Stock_Prediction Machine_Learning_Stock_Prediction Public

    Web application to leverage Machine Learning models to predict stock market. Interactive dash-plotly chart to compare models and deploy application in Heroku cloud platform

    Jupyter Notebook 3

  4. SQL-Alchemy-ORM SQL-Alchemy-ORM Public

    Flask Application to plot and analyze sqlite database weather information from Hawaii

    Jupyter Notebook

  5. Web-scraping-Mission-to-Mars Web-scraping-Mission-to-Mars Public

    Web automation to gather and storage information from Nasa News webpage. Application built on Flask, using Splinter, Beautiful soup and HTML tools

    Jupyter Notebook

  6. Python-Weather_API Python-Weather_API Public

    Application to connect to Geomap and weather APIs to gather information from 500 randomly selected places to find the best vacation spot based on user preferences.

    Jupyter Notebook