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Bussiness Intelligence and Data Science for HyM enterprise

Developped by


Project objectives and structure

  1. Sentiment analysis on customers opinion about the brand
    Predicting model results and inference API to test: https://huggingface.co/lourdesLB/finetuning-sentiment-model With this model we got an score of 96% in predicting the sentiment of reviews made by the customers

  1. Dashboards about sales tendency
    PowerBI dashboard app link: https://app.powerbi.com/view?r=eyJrIjoiZTk1NWI4ZDQtYmU1NC00MDcyLWFlNzQtZTVhZmM2MGIxNDYxIiwidCI6ImVmNGE2ODRlLTgxYjUtNDkxYy1hOThlLWM3YjMxYmU2YzQ2OSIsImMiOjh9
    This dashboard provides an useful insight about sales tendencies and customers satisfaction

  1. Marketing campaigns analysis and sales prediction
    Models and data science analysis: marketing_sales_prediction/marketing_sales_prediction.ipynb
    This study provides an useful insight about marketing campaigns, the best way to invest in marketing and the preditcion of sales with a metric of error of only 2% and a metric of explainability of R^2 of 0.99. We also provide an overview of XAI over our regression models.


Technologies

Basic data science libraries

Web scraping

Models and predictions

Visualizations