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ceciliaesd/README.md

Hi there 👋

Welcome to my GitHub profile!

My name is Cecilia Dalotto and I'm a Data Analyst. 💻🔎

Here I update all the codes, algorithms, graphs and dashboards that I use to develop my data science projects.

I like to analyze different types of dataset to reveal narratives, create predictive models and make powerful visualizations. I also use machine learning techniques to find the best solutions and suggest improvements through data insights.

If you are curious, check out all my repositories below! ⬇️



And feel free to contact me anytime:

  • Linkedin Badge
  • Gmail Badge
  • Website

Projects:

Rossman Sales Model

Six-week sales forecasts for a european drug store chain.

Bank Fraud Detection

Detection of fraudulent banking transactions with a high accuracy (99,7%).

Cardio Diseases Prediction

Model that predicts the probability of patients developing cardiovascular diseases in early stages.

Health Insurance Cross Sell

Pedicting the probability of customers purchasing a new product offered by their insurance company.

House Pricing insights

Dashboard and visualizations with key information of the proprieties available in the real estate market.

Languages and Tools:

visual studio code pycharm python html5 css3 json MySQL markdown github

Top Languages Card

Popular repositories Loading

  1. ceciliaesd.github.io ceciliaesd.github.io Public

    My portfolio website

    CSS

  2. ceciliaesd ceciliaesd Public

    My personal repository

    HTML

  3. Cardio-Diseases-Prediction Cardio-Diseases-Prediction Public

    Model that predicts the probability of patients developing cardiovascular disease.

    Jupyter Notebook

  4. Bank-Fraud-Detection Bank-Fraud-Detection Public

    Model developed to detect fraudulent banking transactions with a high accuracy.

    Jupyter Notebook

  5. Rossman-Sales-Model Rossman-Sales-Model Public

    Six-week sales forecasts for a drug store chain.

    Jupyter Notebook

  6. Health-Insurance-Cross-Sell Health-Insurance-Cross-Sell Public

    Model that predicts the probability of customers purchasing a new product offered by their insurance company.

    Jupyter Notebook