Detail-oriented and reliable engineering student with hands-on skills in MS Excel, data organization, and database fundamentals (SQL). Comfortable working with large sets of data, spotting errors, and keeping records accurate and well-organized. Combines strong data entry fundamentals with basic programming and reporting tools (Python, Power BI) to handle data with more accuracy and efficiency than manual entry alone. Quick learner, dependable, and committed to meeting deadlines with zero-error output.
Developed a Python-based personal finance tracker that records, categorizes, and organizes user transactions, enabling streamlined data entry and reporting 100% faster than manual methods.
Cleaned a 500-row dataset by removing duplicates, standardizing formats, and implementing data validation rules, reducing data errors by 100%.
Transcribed a printed document into a structured spreadsheet, applying consistent headers and double-proofreading to achieve 100% accuracy across individual records.