Data Manipulation
- Expertise in managing diverse data sources—structured, unstructured, and streaming—and merging them effectively for unified analysis.
Data Cleaning
- Identifying and correcting errors and inconsistencies in data.
Data Mining
- Discovering patterns, correlations, and insights within large datasets.
Feature Engineering
- Transforming raw data into business-aligned features that reveal patterns within the data.
Tabular Data
- Organizing data into rows and columns where each row represents a record and each column represents a feature or attribute of that record.
Time Series
- Sequencing data points at successive time intervals to analyze trends, and forecast future values.