What's included

• Consultation

  I'll collaborate with you to understand your business needs and data requirements. This involves detailed discussions to identify your data sources, objectives, and desired outcomes.

• Data Assessment

  I'll evaluate quality, structure, and completeness, identifying potential issues for pre-processing.

• Data Integration & Cleansing

  I will merge and integrate multiple data sources, eliminating redundancies and inconsistencies. I'll handle missing values, outliers, duplicates, and inconsistent entries to ensure data integrity. Your data will be transformed into a consistent format, addressing issues related to types, units, and scales for accurate analysis.

• Data Sampling

  I will utilize random sampling techniques to select a subset of your data for analysis. Random sampling ensures that each data point in your dataset has an equal chance of being included in the sample, providing an unbiased representation of the entire dataset. By applying random sampling, I will help you reduce computational requirements, improve efficiency, and obtain reliable insights from a representative sample of your data.

• Data Walkthrough

  I will guide you through the data, explaining the transformations and cleaning steps that have been applied. This walkthrough will help you understand the data's quality, structure, and integrity, ensuring transparency and confidence in the pre-processed data for your analysis and decision-making processes.