Siyada H.
SYDsCorner
Solutions-driven Data Analyst, passionate about sharing actionable insights to organizations using data analysis and visualization.
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Top Repositories
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.
Analyze a dataset consisting of 4,000 crowdfunding projects to discover hidden trends.
Config files for my GitHub profile.
Create a deep-learning neural network to analyze and classify the success of charitable donations.
Use unsupervised machine learning techniques to analyze cryptocurrency data.
Predict credit risk with machine learning models by using different techniques to train and evaluate models with unbalanced classes.
Repositories
21Group 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.
Analyze a dataset consisting of 4,000 crowdfunding projects to discover hidden trends.
Config files for my GitHub profile.
Create a deep-learning neural network to analyze and classify the success of charitable donations.
Use unsupervised machine learning techniques to analyze cryptocurrency data.
Predict credit risk with machine learning models by using different techniques to train and evaluate models with unbalanced classes.
Build an app to scrape websites for data pertaining to the Mission to Mars, and then create an HTML page to display.
Analyze and visualize climate data as you prepare to open a surf shop using Python, SQLAlchemy, Flask
Perform ETL (Extract, Transform, Load) on several movie datasets to predict popular films for a streaming service.
Create entity relationship diagrams, perform data modeling, and complete analysis on an employee database using SQL techniques.
Plot the relationship between latitude and weather for cities around the world using Python, Pandas and APIs.
Analyze and visualize ride-sharing data by city type using the power of Python, Pandas and Matplotlib.
Use Python and Pandas library to analyze school district data and showcase trends in school performance.
Use the power of Python to automate the vote-counting process for a local election.
Explore green energy stock performance by analyzing financial data using VBA.
UFO Sightings with JavaScript
Use JavaScript's Leaflet library along with the Mapbox API to create visualizations of earthquake data from the U.S. Geological Survey.
Create worksheets, dashboard, and stories from New York City bike-sharing data with Tableau
Build an interactive dashboard using Plotly.js to explore data on the Biodiversity of Belly Buttons. Then deploy the dashboard to a cloud server.
Perform ETL on a dataset from Amazon using PySpark.
Learn how to use R and statistics in order to analyze vehicle data.