📑Every dataset tells a story. My latest project explores what data job postings can reveal about hiring trends, top employers, and where opportunities are concentrated. Over the past few days, I worked on an end-to-end analytics project to better understand hiring trends in the data industry using real-world job posting data. Starting with an unstructured dataset from Kaggle, I transformed it into meaningful business insights through data cleaning, exploratory analysis, and interactive dashboard development. 🛠️ Tools Used Python (Pandas, NumPy) Microsoft Excel Tableau Git & GitHub 📊 Key Insights ✅ Data Analyst was the most frequently advertised role in the dataset. ✅ Meta recorded the highest number of job postings among all companies analyzed. ✅ LinkedIn was the leading recruitment platform for data-related opportunities. ✅ The United States showed the highest concentration of available data job postings. 📈 Project Workflow Kaggle Dataset → Python (Data Cleaning) → Excel (Validation & Structuring) → Python (EDA) → Tableau Dashboard → Business Insights This project strengthened my skills in: Data Cleaning Exploratory Data Analysis (EDA) Data Visualization Dashboard Design Business Storytelling GitHub Documentation I'm continuously building my portfolio and improving my ability to turn raw data into actionable insights. I'd love to hear your thoughts or feedback!