1. Utilize automated tools to extract data from primary and secondary sources.2. Remove corrupted data and fix coding errors and related issues.3. Maintain databases and data systems, reorganizing data into readable formats.4. Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets, aiding in diagnosisand prediction.5. Work and coordinate with team members, team leads, the admin panel, and management heads.6. Scrutinize data to recognize and identify patterns, employing data modeling techniques to summarize the overallfeatures of data processing.7. Participate in data conversion tasks and spot errors in data across different projects. 8. Adapt to work in both teamand individual environments.