I'm ilham, a passionate data enthusiast with a knack for turning numbers into actionable insights. With a background in Engineering, I've dedicated my career to exploring the endless possibilities that data offers. Lets connect on LinkedIn.
The SBA aids small businesses but faces loan repayment challenges.
To reduce a 32.3% default rate, a machine learning model is needed
for quick and accurate loan risk assessment, crucial in predicting
repayment capabilities amidst high loan defaults.
The project presents findings from analyzing data from the Stack Overflow Developer Survey, a comprehensive annual survey gathering insights from individuals globally engaged in coding. While extensive, it might not capture the complete diversity of the developer community.
The project aimed to empower SpaceY against SpaceX by crafting a machine learning model predicting successful Stage 1 rocket landings, potentially saving USD 100 million per launch. Leveraging data from a SpaceX API and Wikipedia scraping, labeled data was stored in a DB2 SQL database for analysis.
This project will analyze business performance for an eCommerce company, taking into account several business metrics namely customer growth, product quality, and payment type.
On this occasion, we will delve deeper into business in the hospitality sector. Our focus is to find out how our customers behave in making hotel reservations, and its relationship to the rate of cancellation of hotel reservations.
This project aims to collect, analyze, and visualize data from the Netflix streaming platform, encompassing information about available movies and TV shows. This data is then integrated into an interactive dashboard that provides in-depth insights into the content available on Netflix.
This project focuses on the creation of a comprehensive dashboard to analyze and visualize housing sales data in King County. The dashboard aims to provide valuable insights into the housing market trends, pricing dynamics, and key factors influencing property sales within the region.