Ali T. Heidari's Projects
This project aims to help Alphabet Soup, a non-profit organization, predict the likelihood of success for funding applicants using a binary classifier developed with a dataset containing information on over 34,000 previously funded organizations.
This repository contains an ETL project for crowdfunding data, utilizing Python and SQL technologies. The data is extracted and transformed with Pandas and Python, and loaded into a PostgreSQL database using pgAdmin, providing clean and organized data for analysis.
This repository applies financial Python programming and unsupervised learning algorithms to categorize cryptocurrencies based on their performance over different timeframes. The project uses K-Means clustering and Principal Component Analysis (PCA) to group similar cryptocurrencies and identify patterns in their performance.
ongoing project
Evaluated food hygiene rating data using MongoDB, PyMongo, and Pandas for the UK food magazine, Eat Safe, Love.
This project develops a machine learning-based credit risk classification model that assists lenders in making well-informed decisions and efficiently managing their portfolios.
This GitHub repository provides a comprehensive set of tools and algorithms for detecting fraud anomalies in various data sources. Fraudulent activities can have severe consequences, impacting businesses and individuals alike. With this repository, we aim to empower researchers with effective techniques to identify and prevent fraudulent behavior.
This study analyzes air quality data from different countries to assess the impact of pollutants on mortality rates and disease burden. Using visualizations, we present the spatial distribution of pollutants and quantify their impact on human health. Our findings will inform policies and Actions to mitigate the harmful effects of air pollution.
Assessment of Home Sales Using Spark SQL, caching, and partitioning to optimize the efficiency of queries from an AWS housed dataset in the cloud.
This repository contains the source code for web scraping NASA's Mars news website to collect the latest news and updates about the planet. Additionally, it performs a thorough analysis of Mars weather data using web scraping techniques, providing in-depth insights and trend analysis.
This study delves into the impact of COVID-19 on Netflix's stock performance from 2019 to 2022 by analyzing various key indicators. The indicators used in the analysis include the daily number of cases and deaths, data drift, and traditional stock market metrics.
This project involves utilizing SQL to conduct data modeling, engineering, and analysis on historical employee records.
Data Visualization - U of T Data Analytics Boot Camp
This repository contains a Python project that analyzes the financial performance of a Colorado-based dried tea production company and the election results in Colorado to identify the winner with a strong commitment to small businesses. The code, documentation, and files are stored for easy access and collaboration.
Pandas Challenge - UofT Data Analytics BootCamp
Use GitHub Actions to produce visual representations of user and repository statistics on GitHub.
VBA Challenge - UofT Data Analytics BootCamp
This repository presents a project aimed at analyzing and exploring the climate data of Honolulu to assist individuals in their trip planning. The project features two main components: the analysis and exploration of climate data, and the design of a climate application that provides valuable insights and information for trip planning purposes.
list of tableau projects
Config files for my GitHub profile.
Portfolio
Travel companies can use this repository to target audience in bad weather through weather-targeted display or social campaigns. Offering flights, hotels, and resorts with aspirational creative highlighting sunny destinations increases the effectiveness of the strategy.
This repository contains the codebase for an interactive dashboard designed to visualize and analyze data in a user-friendly manner. The dashboard is built using a combination of modern web technologies including Plotly, D3.js, JavaScript, HTML, and CSS.
Wine Quality Predictor / The repository is undergoing a cleaning process.