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sharifahmmed1

Sharif Ahmmed

@sharifahmmed1

Expert on data entry and data analyze

Bangladesh
Bengali, Inglês
Algumas informações são exibidas no idioma inglês.
Sobre mim
Detail-oriented Data Entry and Data Analysis Specialist with proven expertise in turning raw data into organized, actionable insights. I specialize in fast and accurate data entry, clean data processing, advanced spreadsheet management, and insightful performance analysis. With a strong background in Industry based solving and process efficiency, I help businesses organize their workflow, clean messy datasets, and build custom automated Excel reports. Whether you need reliable administrative support or data-driven analysis to make smarter decisions, I ensure 100% accuracy and timely delivery.... Saiba mais

Habilidades

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sharifahmmed1
Sharif Ahmmed
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Data Entry
I will do expert excel data entry, data cleaning, and formatting
copiar e colar
I will copy paste, image to text and data entry

Portfólio

Experiência profissional

Panasia_clothing ltd

Executive

Panasia clothing ltd • Período integral

Jul 2025 - Present • 1 yr 3 mos

Job History Worked on textile and garment-related projects involving data management, production-related documentation, Excel-based data organization, and maintaining accurate records. Experienced in handling large datasets, cleaning and organizing information, preparing reports, and ensuring accuracy and consistency in project deliverables. Achievements Successfully completed multiple data entry, data cleaning, and Excel-based projects with a strong focus on accuracy. Organized and maintained large amounts of data in a clear and structured format. Improved data accuracy by identifying and correcting errors, duplicates, and inconsistencies. Created professional Excel spreadsheets and reports for better data management and analysis. Completed assigned tasks within deadlines while maintaining attention to detail. Developed practical knowledge of textile, garment, merchandising, and production-related processes through academic and project-based experience.