Name: Leonardo Aleixo
Type: User
Company: University of Toronto
Bio: Process oriented data analyst, experienced in interpreting and analyzing information to support strategy and growth.
Location: Toronto, Ontario
Blog: [email protected]
Leonardo Aleixo's Projects
Analyze Amazon Vine reviews with PySpark and SQL.
Create worksheets, dashboards and stories from New York City bike-sharing data.
Analyze the numbers related to Covid-19 infections, deaths and vaccinations around the world until January 27th 2022.
Predict credit risk with machine learning models and python.
Use unsupervised machine learning techniques to analyze cryptocurrency data.
Create an Election Analysis with Python.
Performing analysis on Kickstarter data to uncover trends.
Create visualizations of earthquake data from the U.S Geological Survey.
Built an app to scrape websites for data pertaining to the Mission to Mars.
Perform ETL process to create a data pipeline on movie datasets.
Create a deep-learning neural network to analyze and classify the success of charitable donations.
Create entity relationship diagrams, perform data modeling, and complete analysis on an employee database using SQL techniques.
Create an interactive dashboard to explore data.
Analyze and visualize ride-sharing data using Python, Pandas and Matplotlib.
Analyze and create a visualization providing insights on sales, and using machine learning model to predict price.
Use Python and Pandas library to analyze school district data and showcase trends in school performance based on key metrics.
Restructuring an existing code.
Analyze weather data to support a business decision.
Create a custom webpage that showcases UFO Sightings around the world.
Analyze World Weather and Create a Travel Itinerary using Pandas, Matplotlib, SciPy statistics., Citipy, Weather Map API, Gmaps API and Jupyter Notebook.