1️⃣ Cleaned & Structured Dataset
✔️ Well-organized, error-free, and analysis-ready data files (Excel/CSV/SQL).
2️⃣ Exploratory Data Analysis (EDA) Report
✔️ Visual and statistical summary of data patterns, distributions, and trends.
3️⃣ Interactive Dashboards
✔️ User-friendly dashboards built with tools like Power BI, Tableau, or Python.
4️⃣ Predictive ML Model (if required)
✔️ Trained, validated, and deployable machine learning model with performance metrics.
5️⃣ Insightful Visualizations
✔️ Clean, insightful charts, graphs, and infographics explaining data outcomes.
6️⃣ Actionable Business Recommendations
✔️ Data-backed strategies and suggestions for business improvement.
7️⃣ Project Summary Report
✔️ Well-documented final report covering process, findings, and conclusions.
8️⃣ Python / SQL / Jupyter Notebooks (Code Files)
✔️ Organized and reusable scripts, queries, or notebooks used for analysis.