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MicheleDaconto/README.md

👋 Welcome

🎓 Data Science Student @ Copenhagen Business School

💼 Data Analyst Intern @ Arrive

🧑‍💼 About Me

Strong interest in predictive tasks, ML models and data analysis in general.

Core Skills

  • Python (Tensorflow, scikit-learn)
  • SQL
  • Tableau
  • R
  • Power BI

Currently

Thinking about my thesis while interning @ Arrive

📚 Relevant Projects

- Support Tickets Analysis: Topic Modeling & Priority Classification

- Assessing EU Performance Toward Fit for 55: A Predictive Time Series Approach

- A Machine Learning Approach to Skin Cancer Detection: CNN vs SVM

- AirBnB Denmark Occupancy Analysis: Strategies to Maximize Revenue

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  1. Ticketing_Analysis Ticketing_Analysis Public

    Leveraging NLP techniques to efficiently handle large quantities of support tickets received by a company.

    Jupyter Notebook 1

  2. Predicting_Fitfor55_EU Predicting_Fitfor55_EU Public

    Predicting EU countries' progresses towards the Fit for 55 goal using ETS and ARIMA models.

    1

  3. SkinCancer_Detection SkinCancer_Detection Public

    Diagnosing melanoma starting from images of moles using CNN and SVM algorithms.

    Jupyter Notebook 1

  4. AirbnbDenmark_Occupancy_Analysis AirbnbDenmark_Occupancy_Analysis Public

    Building a dashboard to highlight the factors that could increase revenues in Denmark.

    1