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hasham45r

Hasham Arshad

@hasham45r

Data Entry Specialist

Paquistão
Inglês, Urdu
Algumas informações são exibidas no idioma inglês.
Sobre mim
🚀 Your messy data is wasting time and killing productivity. I'll fix it fast and accurately. I'm Hasham, a Full-Time Data Entry Specialist with 5+ years of experience and a Top-Rated Freelancer on other platforms, turning raw, unorganized data into clean, structured, and reliable systems businesses can actually use. 🔎 Services: • Excel & Google Sheets data entry • Data cleaning & formatting • CRM updates & record management • PDF/Image to Excel conversion Results: ✔ 100% accuracy ✔ Fast turnaround ✔ Clear communication 📩 Message now and get your data handled the right way.... Saiba mais

Habilidades

h
hasham45r
Hasham Arshad
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Digitação de Dados
I will handle medical billing, claim submission and payment posting accurately
Digitação de Dados
I will be your reliable data entry, virtual assistant for admin support

Portfólio

Experiência profissional

Uber_Eats

data entry specialist

Uber Eats • Freelance

Mar 2024 - Feb 202511 mos

I completed a detailed data entry and data cleaning project for an insurance dataset involving customer interactions, agent performance, and sales tracking. Project Overview The client provided raw and partially unstructured data containing information such as: Agent IDs Product categories Customer types Call duration Resolution status Satisfaction ratings Upsell quantities and revenue My responsibility was to organize, clean, validate, and structure the dataset into a professional and analysis-ready format. Key Responsibilities & Problem-Solving ✅ Data Cleaning & Error Handling Identified and corrected inconsistent entries (e.g., "Misc." vs proper product categories) Fixed formatting issues across columns (dates, numeric values, text alignment) Removed duplicate or irrelevant entries ✅ Handling Missing & Incorrect Data Detected missing values in key fields like upsell amount and satisfaction score Replaced or flagged incorrect data based on logical conditions ✅ Conditional Formatting for Insights Applied highlighting rules to identify: Low satisfaction scores Failed resolutions ("No") Zero upsell performance This helped the client quickly spot problem areas ✅ Data Structuring & Organization Standardized column headings and formats Organized dataset for easy filtering and sorting Ensured consistency across all rows ✅ Quality Assurance Cross-checked entries to ensure accuracy Maintained high attention to detail to avoid data inconsistencies Results Delivered Clean, structured, and analysis-ready dataset Improved data accuracy and consistency Easy-to-read format for business decision-making Highlighted key performance issues for quick review Tools Used Microsoft Excel Data validation & conditional formatting Basic data analysis techniques.