matiasmascioto.github.io

Matias Mascioto

About Me

• Computer Engineer (UNLP, Argentina) and Data Ingelligence Specialist (UNLP, Argentina)
• Data Engineer - Data Scientist
• Technical Skills:
  • Programming Languages: Python, C
  • Databases: SQL, MongoDB
  • Cloud: AWS, GCP
  • Data visualization: Dash (Plotly), Google Data Studio, Tableau, Python (seaborn, plotly)
  • Others: QGIS, Git
• Interests: Machine Learning, Sports Analytics, Blockchain.
• Love football!

Portfolio

Compilation of personal projects

AXEM (Data Wrangling)

GitHub

keywords: data wrangling, python, jupyter notebook, pandas, excel, csv

This project cleans a dataset with information about argentinian soccer players around the world. The original dataset is an Excel file, with dirty and unnormalized data. Wrangling this data generates a cleaner and more easily workable dataset (in .csv).

sysarmy Salary Surveys (Data Wrangling)

GitHub

keywords: data wrangling, python, jupyter notebook, pandas, excel, csv

This project cleans and concatenates the results of IT salary surveys made by sysarmy in South America.

RoboCupSimData (Plotting)

GitHub

keywords: python, jupyter notebook, pandas, matplotlib, soccer, robocup, robocupsimdata, spatiotemporal

This project works with spatiotemporal soccer data. The dataset used is from RoboCupSimData project (Paper) (Files Overview).

Machine Learning Mini Projects

GitHub

keywords: python, jupyter notebook, pandas, scikit-learn, tensorflow, pyplot

Some mini-projects to practice machine learning, while reading Hands-On Machine Learning with Scikit-Learn & TensorFlow.

Publications

• ANTENUCCI, PEDRO, MASCIOTO, JUAN MATÍAS, PAGE, MARÍA. PASO 2017 en la provincia de Buenos Aires: el recuento provisorio explicado. Revista SAAP. Publicación de Ciencia Política de la Sociedad Argentina de Análisis Político. ISSN: 1666-7883. Disponible en: https://www.redalyc.org/articulo.oa?id=387154402008

Contact

• LinkedIn