klaudio07
Experienced finance and business professional. Passionate about Data Analytics. Skilled in Python, Machine Learning, MySQL, Tableau, R, Java, Excel and VBA.
University of Torontoklaudiokalari@gmail.com
Pinned Repositories
2020_Election_Results
Showcase the use of Machine Learning, Python 3, NumPy, Anaconda, Jupyter Notebook, Pandas, sklearn,TensorFlow, Keras, plotly, hv plot, MySQL, ETL, Postgres/pgAdmin, JavaScript, Tableau in Predicting 2020 US Election Results.
Amazon_Vine_Analysis
Used MapReduce, (NLP) in relation to big data, Google Colab, AWS , Visual Studio Code to Analyze Amazon Vine Reviews
Belly_Button_Biodiversity_Dashboard
Using Plotly.js, a JavaScript data visualization library, to create an interactive data visualization for the web. Used familiarity with HTML and basic JavaScript
bikesharing
Import, style, and portray data accurately. Then, created worksheets, dashboards, and stories to visualize key data from a New York Citi Bike dataset, using Tableau.
Credit_Risk_Analysis
Use Python to build and evaluate several machine learning models to predict credit risk for FinTech firms.
Cryptocurrencies
Module 18 Unsupervised Machine Learning and Cryptocurrencies
Election_Analysis
Use the programming language Python to create scripts that read, write, and store data from files or in arrays as well as perform mathematical operations.
Mapping_Earthquakes
Use the Leaflet.js Application Programming Interface (API) to populate a geographical map with GeoJSON earthquake data from a URL.
Mission-to-Mars
Use BeautifulSoup and Splinter to scrape full-resolution images of Mars’s hemispheres and the titles of those images, store the scraped data on a Mongo database, use a web application to display the data, and alter the design of the web app to accommodate these images.
2020_Election_Results
Predicting 2020 election results
klaudio07's Repositories
klaudio07/Amazon_Vine_Analysis
Used MapReduce, (NLP) in relation to big data, Google Colab, AWS , Visual Studio Code to Analyze Amazon Vine Reviews
klaudio07/2020_Election_Results
Showcase the use of Machine Learning, Python 3, NumPy, Anaconda, Jupyter Notebook, Pandas, sklearn,TensorFlow, Keras, plotly, hv plot, MySQL, ETL, Postgres/pgAdmin, JavaScript, Tableau in Predicting 2020 US Election Results.
klaudio07/Belly_Button_Biodiversity_Dashboard
Using Plotly.js, a JavaScript data visualization library, to create an interactive data visualization for the web. Used familiarity with HTML and basic JavaScript
klaudio07/bikesharing
Import, style, and portray data accurately. Then, created worksheets, dashboards, and stories to visualize key data from a New York Citi Bike dataset, using Tableau.
klaudio07/Credit_Risk_Analysis
Use Python to build and evaluate several machine learning models to predict credit risk for FinTech firms.
klaudio07/Cryptocurrencies
Module 18 Unsupervised Machine Learning and Cryptocurrencies
klaudio07/Election_Analysis
Use the programming language Python to create scripts that read, write, and store data from files or in arrays as well as perform mathematical operations.
klaudio07/Mapping_Earthquakes
Use the Leaflet.js Application Programming Interface (API) to populate a geographical map with GeoJSON earthquake data from a URL.
klaudio07/Mission-to-Mars
Use BeautifulSoup and Splinter to scrape full-resolution images of Mars’s hemispheres and the titles of those images, store the scraped data on a Mongo database, use a web application to display the data, and alter the design of the web app to accommodate these images.
klaudio07/Kickstarter-Analysis
Deep dive into Excel.
klaudio07/klaudio07
My Website
klaudio07/MechaCar_Statistical_Analysis
Extract, transform, and load (ETL) data; visualize the data; and analyze the data using R, to help a car manufacturer.
klaudio07/Movies-ETL
Using JSQLAlchemy to Perform ETL, Python, Pandas and PostgreSQL to create one function that takes in the three files—Wikipedia data, Kaggle metadata, and the MovieLens rating data—and performs the ETL process by adding the data to a PostgreSQL database.
klaudio07/Neural_Network_Charity_Analysis
Module 19
klaudio07/Pewlett-Hackard-Analysis
Organize and query data, especially on a large scale, with SQL to prepare for “silver tsunami” .
klaudio07/Portfolio
klaudio07/PyBer_Analysis
Use Matplotlib to create different types of charts. Also be introduced to SciPy, a statistical Python package, and NumPy to Analyze Pyber Performance.
klaudio07/School_District_Analysis.
Use Jupyter Notebook and the Pandas library, to read raw data from CSV files, inspect and clean data, merge datasets, perform mathematical calculations, and visualize the data to tell a story.
klaudio07/Stock_Analysis
Analyze stocks using Visual Basic for Applications, or VBA, to add even more analytical power to Excel.
klaudio07/Surfs_Up
Use tools such as SQLite, SQLAlchemy, Flask, Python and Jupyter to analyze temperature and precipitation data for the months of June and December in Oahu, in order to determine business sustainable year-round.
klaudio07/Testing
Testing
klaudio07/UFOs
Using JavaScript and HTML to modify the code in your index.html file to create more table filters for UFO's landing.
klaudio07/World_Weather_Analysis
Analyze World Weather and Create a Travel Itinerary using Pandas, Matplotlib, SciPy statistics., Citipy, Weather Map API, Gmaps API and Jupyter Notebook.