Shayan Afzal's repositories
Amazon_Vine_Analysis
A analysis to determine if there is any bias towards favourable reviews coming form the Amazon Vine Program using cloud ETL, AWS RDS & pgAdmin.
Auto_Performance_Statistical_Study
A statistical model that uses linear regression analysis to identify variables that predict the mpg for cars and compares performance with other manufacturers.
Business_Analysis_for_Investors
Analyzing a potential business investment using python and pandas and displaying the finding using tableau.
Business_Seasonal_Sustainability_Analysis
A statistical analysis on the temperature trends to determine whether or not a business is sustainable year-round.
Credit_Risk_Analysis
Using machine learning to train and evaluate models with unbalanced classes to determine the best models to predict credit risk.
Crypto_Classification_System
A system that groups crypto currencies into a classification system and processes data to fit machine learning models. Unsupervised learning and clustering algorithms have been utilized.
Dynamic_Web_Representation_of_UFO_Sightings
Creating a webpage with a dynamic table that provides in-depth analysis of UFO sightings
Election_Analysis
The purpose of this is to determine the voter turnout for each county, the percentage of votes received by each county and the country with the highest voter turnout.
Forecasting_Using_Machine_Learning
Using machine learning models to create forecasts and better manage supply chain networks and working capital levels.
Movie_Database_Creation_Using_ETL
Creating a 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.
Human_Resource_Analysis
Analysis to determine the number of retiring employees per title and to identify employees who are eligible to participate in a mentorship program.
Interactive_Web_Dashboard_for_Data
Creating a dashboard using JavaScript, Plotly, and D3
Mapping_Earthquakes
Analyzing earthquake data in relation to the tectonic plates’ location
Mission_to_Mars_Web_Scrapeing_for_Data
BeautifulSoup and Splinter have been utilized to scrape full-resolution images, update the Web App and add Bootstrap3 Components.
Ride_Sharing_Analysis
Creating a summary DataFrame of ride-sharing data by city type and using Pandas and Matplotlib to create a multiple-line graph that shows the total weekly fares for each city type.
School_District_Analysis
Cleaning data in data frames to improve analytical accuracy
VBA_Campaign_Funding_Analysis
Visualize campaign outcomes based on their launch dates and their funding goals
VBA_Stock_Market_Analysis
Refactoring VBA script to make it run faster by using fewer steps, less memory and improved logic