About Me

My name is Daniel Gomes

I have been working on personal projects about Data Science, to gain experience in solving business problems and mastering data analysis tools.

Currently, I am pursuing a Master's degree in Artificial Intelligence in Montreal, QC - Canada. I have an MBA in Data Science and Analytics from the University of São Paulo and worked for more than 7 years as a telecommunications engineer in a state-owned company of the Brazilian federal government.

I am looking for an opportunity to work professionally as a Data Scientist to improve business decision-making processes by building solutions using data.

Skills

Programming Languages and Databases

  • Python with a focus on data analysis.
  • Web scraping with Python.
  • SQL for data extraction.
  • R for statistical modeling.

Statistics and Machine Learning

  • Regression, Classification and Clustering Algorithms.
  • Dimensionality reduction techniques.
  • Machine Learning packages: Sklearn and Scipy.

Data Visualization

  • Matplotlib, Seaborn, Plotly and Bokeh.

Software Engineering

  • Git, Github, Gitlab, Virtual Environment.
  • Streamlit, Python API's.
  • Professional Experience

    Full Data Science Projects

    Building data solutions to business problems, close to real business problems, using public data from Data Science competitions, where I approached the problem from the conception of the business challenge to the publishing the trained algorithm in production, using Cloud Computing tools. Computing tools.

    7+ years as Telecom Engineer

    Data analysis using Python, R and Excel, preparation of technical documents, equipment maintenance, management of outsourced contracts, acquisition of new equipment, support in the decision making of the Operational Management of a train company located in João Pessoa/Brazil.

    8 years as a Soldier in the Military Police of the State of Paraíba

    Ostensive policing, radio communication operator. Administrative service at the PMPB Graduate and Research Coordination office, and occasional support to the IT team at the PMPB Education Center.

    Data Science Projects

    Development of a Management Dashboard for Business with Stremlit.

    In this project, the concepts of Python programming, data manipulation, strategic thinking and business logic, along with web development tools such as Streamlit and GitHub, were used to develop a management dashboard with the main metrics of a food delivery marketplace company.

    The end result of the project was a dashboard hosted in a Cloud environment and available through a web link. The dashboard can be accessed by any internet connected device.

    The tools used were:

    • Anaconda.
    • Jupyter Notebook.
    • Google Colab.
    • Terminal.
    • Git.
    • Github.
    • Python.
      1. Pandas.
      2. Numpy.
      3. Matplotlib.
      4. GeoPandas.
      5. Plotly.
      6. Folium.
      7. Streamlit Python framework web.

    Real estate recommendations for purchase and resale in order to maximize profit using Streamlit

    Identifying real estate properties below the average sale price and defining the optimal resale price, from an exploratory data analysis in Python.

    A Web App was developed using Streamlit to make it easier for the CEO to access essential business information. The resulting code can be accessed in its specific repository on GitHub. The Web App resulting from this work can be accessed by any device connected to the internet.

    The tools used were:

    • Anaconda.
    • Jupyter Notebook.
    • Google Colab.
    • Terminal.
    • Git.
    • Github.
    • Python.
      1. Pandas.
      2. Numpy.
      3. Seaborn.
      4. Matplotlib.
      5. GeoPandas.
      6. Plotly.
      7. Folium.
      8. Streamlit Python framework web.

    Contact us

    Feel free to get in touch: