SYDsCorner
Solutions-driven Data Analyst, passionate about sharing actionable insights to organizations using data analysis and visualization.
Maryland
Pinned Repositories
Amazon_Vine_Analysis
Perform ETL on a dataset from Amazon using PySpark.
BellyButton_Biodiversity
Build an interactive dashboard using Plotly.js to explore data on the Biodiversity of Belly Buttons. Then deploy the dashboard to a cloud server.
Bikesharing
Create worksheets, dashboard, and stories from New York City bike-sharing data with Tableau
Credit_Risk_Analysis
Predict credit risk with machine learning models by using different techniques to train and evaluate models with unbalanced classes.
Crude_Oil_Price_Projection
Group Project: we intend to develop a robust machine learning model that will deliver a one-year projection for the price of West Texas Intermediate (WTI) Crude Oil.
Cryptocurrencies
Use unsupervised machine learning techniques to analyze cryptocurrency data.
Election_Analysis
Use the power of Python to automate the vote-counting process for a local election.
Kickstarter_Challenge
Analyze a dataset consisting of 4,000 crowdfunding projects to discover hidden trends.
Mapping_Earthquakes
Use JavaScript's Leaflet library along with the Mapbox API to create visualizations of earthquake data from the U.S. Geological Survey.
Neural_Network_Charity_Analysis
Create a deep-learning neural network to analyze and classify the success of charitable donations.
SYDsCorner's Repositories
SYDsCorner/Amazon_Vine_Analysis
Perform ETL on a dataset from Amazon using PySpark.
SYDsCorner/BellyButton_Biodiversity
Build an interactive dashboard using Plotly.js to explore data on the Biodiversity of Belly Buttons. Then deploy the dashboard to a cloud server.
SYDsCorner/Bikesharing
Create worksheets, dashboard, and stories from New York City bike-sharing data with Tableau
SYDsCorner/Credit_Risk_Analysis
Predict credit risk with machine learning models by using different techniques to train and evaluate models with unbalanced classes.
SYDsCorner/Crude_Oil_Price_Projection
Group Project: we intend to develop a robust machine learning model that will deliver a one-year projection for the price of West Texas Intermediate (WTI) Crude Oil.
SYDsCorner/Cryptocurrencies
Use unsupervised machine learning techniques to analyze cryptocurrency data.
SYDsCorner/Election_Analysis
Use the power of Python to automate the vote-counting process for a local election.
SYDsCorner/Kickstarter_Challenge
Analyze a dataset consisting of 4,000 crowdfunding projects to discover hidden trends.
SYDsCorner/Mapping_Earthquakes
Use JavaScript's Leaflet library along with the Mapbox API to create visualizations of earthquake data from the U.S. Geological Survey.
SYDsCorner/Neural_Network_Charity_Analysis
Create a deep-learning neural network to analyze and classify the success of charitable donations.
SYDsCorner/MechaCar_Statistical_Analysis
Learn how to use R and statistics in order to analyze vehicle data.
SYDsCorner/Mission-to-Mars
Build an app to scrape websites for data pertaining to the Mission to Mars, and then create an HTML page to display.
SYDsCorner/Movies-ETL
Perform ETL (Extract, Transform, Load) on several movie datasets to predict popular films for a streaming service.
SYDsCorner/Pewlett-Hackard-Analysis
Create entity relationship diagrams, perform data modeling, and complete analysis on an employee database using SQL techniques.
SYDsCorner/PyBer_Analysis
Analyze and visualize ride-sharing data by city type using the power of Python, Pandas and Matplotlib.
SYDsCorner/School_District_Analysis
Use Python and Pandas library to analyze school district data and showcase trends in school performance.
SYDsCorner/Stock-Analysis
Explore green energy stock performance by analyzing financial data using VBA.
SYDsCorner/Surfs_Up
Analyze and visualize climate data as you prepare to open a surf shop using Python, SQLAlchemy, Flask
SYDsCorner/SYDsCorner
Config files for my GitHub profile.
SYDsCorner/UFOs
UFO Sightings with JavaScript
SYDsCorner/World_Weather_Analysis
Plot the relationship between latitude and weather for cities around the world using Python, Pandas and APIs.