What's included

• Data Cleaning & Preprocessing

  Cleaning and preprocessing raw data to ensure accuracy, consistency, and readiness for analysis. This includes handling missing values, removing duplicates, and normalizing data.

• Exploratory Data Analysis (EDA)

  Performing in-depth EDA using Python, R, or SQL to uncover patterns, trends, and insights. Delivering visual reports with graphs and key findings.

• Data Visualization & Reporting

  Creating interactive dashboards and reports using Power BI, Tableau, or Matplotlib/Seaborn to present data-driven insights in a clear and actionable manner.

• Business Intelligence Insights & Recommendations

  Providing key insights and actionable recommendations based on data analysis to help businesses optimize operations, improve sales, or reduce costs.

• Predictive Analytics & Machine Learning Models (If applicable)

  Building and deploying machine learning models to forecast trends, detect anomalies, or make data-driven decisions. Providing model performance metrics and recommendations.