Project: Data-Driven Urban Planning & Smart Transportation Analytics 🚀 I recently worked on an innovative project focused on data-driven urban planning, specifically targeting smart transportation and pollution control. The aim was to use data analysis to improve city infrastructure and sustainability. Here’s how I approached it: Data Analysis: Utilized Pandas to clean and manipulate data from various sources, and NumPy for in-depth statistical analysis to understand traffic trends and pollution levels in urban areas. Visualization: Created powerful visualizations with Matplotlib to highlight key patterns and correlations between transportation usage, traffic congestion, and air quality, offering valuable insights for decision-makers. Web Interface: Developed an interactive, user-friendly front-end using HTML, CSS, and JavaScript, enabling stakeholders to easily explore the data and make informed decisions based on real-time information. This project was a fantastic opportunity to enhance my skills in both data analysis and web development, and I look forward to applying these capabilities to future innovative solutions! hashtag#DataScience hashtag#UrbanPlanning hashtag#SmartTransportation hashtag#Pandas hashtag#NumPy hashtag#Matplotlib hashtag#HTML hashtag#CSS hashtag#JavaScript hashtag#TechForGood This version highlights your role in data analysis while tying in the web development aspect to showcase your skills.