shayanafzal Goto Github PK

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Name: Shayan Afzal

Type: User

Company: One Diversified

Bio: I am a passionate data analytics professional eager to connect with others in the industry.

Location: Toronto, Canada

Shayan Afzal's Projects

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.

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.

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.

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

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