Over the past few weeks, I've been working on something I wanted to build for myself first—a simple tool that makes one part of a Data Analyst's workflow a little easier. Today, I finally deployed it on my website. 📊 Data Quality Auditor It's a web-based tool that allows users to upload a CSV or Excel file and quickly check the overall quality of their dataset. At the moment, it can help identify: ✅ Missing Values ✅ Duplicate Rows ✅ Data Types ✅ Invalid Dates ✅ Empty & Constant Columns ✅ Outliers ✅ Unique Values ✅ Overall Data Quality Score ✅ Downloadable Data Quality Report I'm fully aware that this isn't the most advanced or feature-rich data quality tool out there—and that's completely okay. The goal wasn't to build the "perfect" tool on day one. The goal was to start building. This is the first tool in what I hope will become a growing collection of practical tools for Data Analysts. I'll continue improving it over time while building more tools for tasks like Data Cleaning, Data Visualization, Exploratory Data Analysis (EDA), SQL utilities, and other real-world data workflows. Every project teaches me something new, and each one gets me a step closer to becoming the Data Analyst and AI Developer I aspire to be. If you have any suggestions or feedback on what would make this tool more useful, I'd genuinely love to hear them. 🌐 Live Demo: [https://lnkd.in/g62nXJzx] 💻 GitHub: [https://lnkd.in/gueZt4q9] Thank you for following my journey. More tools are coming soon! 🚀 #DataAnalytics #DataAnalyst #Python #React #TypeScript #CSV #Excel #DataQuality #DataCleaning #Analytics #WebDevelopment #PortfolioProject #BuildInPublic #LearningInPublic #OpenToWork #GitHub #SoftwareDevelopment #AI #Tech #DeveloperJourney