1. Data Analysis and Interpretation: Providing in-depth analysis of complex datasets to uncover trends, patterns, and actionable insights.

2. Statistical Modeling: Developing and implementing statistical models to support business decisions, including regression analysis and hypothesis testing.

3. Data Visualization: Creating compelling visualizations and dashboards using tools like Tableau, Power BI, and Python to communicate findings effectively.

4. Data Cleaning and Preparation: Offering services to clean, transform, and prepare data for analysis, ensuring high data quality and integrity.

5. Custom Reports: Designing tailored reports that meet specific client needs, summarizing findings and recommendations.

6. Training and Workshops: Providing training sessions on data analysis techniques, tools, and best practices for teams or individuals looking to enhance their skills.