I am a Bachelor of Educational Administration graduate from Universitas Negeri Padang with hands-on experience in customer support, data entry, and Microsoft Excel. Since 2023, I have been working as a Customer Service and Data Entry Assistant, where I manage customer inquiries through WhatsApp, assist clients with information, and ensure accurate data input and record management.
In this role, I handle tasks such as organizing digital documents, maintaining spreadsheets, updating databases, and helping prepare simple business reports. I am detail-oriented, organized, and efficient, with strong communication and problem-solving skills. I enjoy turning raw information into clear and reliable data and ensuring every task is completed accurately and on time. I am passionate about supporting entrepreneurs and small businesses by simplifying administrative workflows and improving efficiency.
silviaandriani2601 (silviaandriani2601)
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| User Name: | silviaandriani2601 |
| Account Type: | Personal Account |
| Date Registered: | 10/10/2025 12:07:41 WIB |
| Last Seen: | 22/11/2025 20:01:43 WIB |
| Provinsi: | Sumatera Barat |
| Kabupaten: | Kab. Agam |
| Website: | www.linkedin.com/in/silvia-andriani-a836b2388 |
| Online Hours: | 0.60 |
| Projects Won: | 0 |
| Projects Completed: | 0 |
| Completion Rate | - |
| Projects Arbitrated: | 0 |
| Arbitration Rate | - |
| Current Projects: | 0 |
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2025: This portfolio showcases my work as a Data Entry Specialist, featuring several projects that demonstrate my accuracy, efficiency, and data organization skills. Some of the highlighted projects include:
1. Data Entry and Cleaning – Cleaned, standardized, and alphabetically organized MSME participant data from Padang City using Excel formatting to improve accuracy and readability.
2. Data Entry and Research – School Database Collection – Collected and verified school information from Texas, Florida, and Oklahoma, ensuring consistency and completeness in the compiled dataset.
3. Data Entry and Processing – Yune Beauty Store E-Commerce Sales Data – Processed and analyzed online sales data using sorting, filtering, and conditional formatting to highlight key trends and order status.
Each project was completed with attention to detail, data accuracy, and effective use of spreadsheet tools such as Microsoft Excel and Google Sheets to deliver clean, well-structured results.
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