Cleaning and transforming raw data to ensure accuracy, consistency, and readiness for analysis. This may involve handling missing data, removing duplicates, and standardizing formats. Applying statistical techniques, data mining, and data visualization to explore, analyze, and interpret datasets to identify patterns, trends, correlations, and insights. Gathering data from various sources, such as databases, spreadsheets, APIs, web scraping, and other data repositories.

• • Gathered and analyzed technical requirements from 10 educational institutions that hosted 20 courses.• Provided analysis of 1200+ students’ performance (Excel, Google Sheets, Tableau) for use in placing graduates in appropriate jobs and was reported to government authorities.• Migrated, with Excel, student data into a SQL database for the technical team to customize practice tests in the mobile application.

• Researched data from the market and analyzed the data using Excel.• Gathered and organized data and performed data mining; reported all data to senior leadership.• Communicate to get information and requirements and prepared all documentation.• Communicated with national authorities, who analyzed, planned, and budgeted based on the student and course data.• Managed month-end analysis process for overall expenses, including net revenue and balance sheet