Daily Bike Rentals and Profit Analysis

Analyzed data from a bike-sharing company and predicted daily rentals using linear regression. I honed my exploratory analysis skills and contributed to pricing strategy optimization for improved profitability.

Predict H1N1 and Seasonal Flu Vaccines

Analyzed data from the 2009 H1N1 Flu Survey, conducted by the U.S., to predict individuals' likelihood of getting H1N1 and seasonal flu vaccines based on various factors. Presented actionable insights for public health strategies.

Loan Analysis

This project aims to analyze lending discrimination based on race in the US. The project involves working with a public HMDA dataset, which covers multiple states and years. The dataset is documented in the provided links. The analysis will focus on loan applications made in Wisconsin 2020.

Web Crawling

This project covers four parts - GraphSearcher and DFS: Introduces base class and Depth-First Search; BFS and File Handling: Extends base class for BFS and file operations; Web Crawling and Scraping: Utilizes Selenium WebDriver for web scraping; Implements web interaction and image auto download

Yelp Data Analysis

This analysis aims to uncover restaurants on Yelp that consistently outperform their category peers by having ratings higher than all of their category average ratings. SQL queries will be used to identify these exceptional establishments, showcasing their ability to excel across multiple categories

COVID-19 Impact Data Visualization

Conducted COVID-19 data analysis and visualization, focusing on global death rates, economic impacts, and market trends. The primary emphasis is on the United States, where we visualize COVID-19 death rates and derive insights from the data, offering a comprehensive view of the pandemic.

Building a Data Website (A/B Testing)

Built a Flask-based website for sharing the "usa-used-cars-dataset" from Kaggle. The website offers data visualization on the homepage, JSON data access, an A/B-tested donation page, and a validated email subscription feature, enhancing user engagement and data accessibility.

Selling Laptops Smart Marketing Analytics

As a retail website owner, the goal is to send laptop promotion emails selectively to interested users. To achieve this, past data on user interactions with similar emails in 2020 will be used for predictive targeting, ensuring a more effective and less intrusive email campaign.