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  • Curitiba - Brazil

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nortonvanz/README.md

Hello, Norton Vanz here!

Machine Learning Projects

Objective: Group more than 5000 customers by consumption profile and identify the most valuable customers.

Implemented via Metabase dashboard. (Completed: Sep/2022)

Objective: Create a ranking algorithm for interest in vehicle insurance for new customers, based on survey data from previous customers.

Implemented via Google Sheets with Apps Script. (Completed: Apr/2022)

Objective: Create a sales forecasting algorithm for 1115 stores and make it accessible 24/7 via smartphone.

Implemented via a Telegram bot. (Completed: Jan/2022 / Revision: Jan/2023)

Insights Projects

Objective: Evaluate business performance by validating four hypotheses, generating insights, and answering nine business questions for the partners.

Implemented via browser with Sweetviz. (Completed: Jul/2022)

Objective: Answer two key business questions:

  • Which properties should we buy out of more than 20,000 available?
  • Once purchased, what is the best seasonality to sell the property, and at what price?

Implemented via browser with Streamlit. (Completed: Nov/2021)

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  1. Health-Insurance-Ranking Health-Insurance-Ranking Public

    Learning to Rank Project (Classification)

    Jupyter Notebook 5 3

  2. House-Rocket-Real-State-EDA House-Rocket-Real-State-EDA Public

    Insights Project

    Python 1 1

  3. Pharmacy-Sales-Forecast Pharmacy-Sales-Forecast Public

    Time Series Project (regression)

    Jupyter Notebook

  4. nortonvanz nortonvanz Public