Freelance Data Entry Specialists in India
Freelance Data Entry Specialists in India
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Geethasree Naguboina
pro
Hyderabad, India
Excel & Data Analytics | Dashboards, KPI & Reporting
118
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Excel & Data Analytics | Dashboards, KPI & Reporting
4
Clean Data. Better Decisions. Good data work starts with accuracy. I help organize, clean, and validate data so that spreadsheets and datasets are easier to use and trust. From data entry and formatting to identifying duplicates and inconsistencies, I focus on keeping every detail clear and consistent. Accuracy → Consistency → Reliable data.
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Turning messy Excel data into an interactive dashboard 📊 In my latest Excel case study, I worked with a raw, unstructured dataset (8,700+ rows) and focused on doing the fundamentals right: • Cleaned inconsistent time, date, and text values • Structured the data for accurate analysis • Built pivot tables with day, month, and time logic • Added slicers and conditional formatting for interactivity No fancy tools — just solid Excel workflows that make data reliable and easy to explore. This is exactly how I approach real client data: clean first → structure next → visualize last. 👉 Full case study is live on my profile.
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📊 Clean Excel Data = Better Decisions Most teams don’t have a data problem — they have a messy Excel problem. Common issues I see: ❌ Broken formulas ❌ Manual workflows ❌ Reports that fail with new data When Excel data is structured properly: ✅ Dashboards stay accurate ✅ Automation works ✅ Decisions get faster Clean data isn’t about neat sheets — it’s about trustworthy insights. I help teams clean, structure, and automate Excel data for decision-ready reporting.
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Why Clean Data = Better Decisions 🧼📊 Most teams don’t have a data problem — they have a messy data problem. Dirty data causes: ❌ Wrong insights ❌ Slow reporting ❌ Confusing dashboards ❌ Missed opportunities But when your data is clean and structured: ✅ Decisions get faster ✅ Dashboards get clearer ✅ Teams trust the numbers ✅ Automation works ✅ Revenue opportunities appear Clean data isn’t “making it look nice.” It’s the foundation of accurate forecasting, better targeting, and smarter strategy. If your business is running on messy spreadsheets, you’re not just losing time — you’re losing clarity. I help teams turn chaotic data into clean, decision-ready datasets. Need help cleaning or organizing your data? Let’s talk 🤝
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341
Data Entry Specialist
(6)
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Somit Guha
Delhi, India
Data expert: Fast typing, clean formatting, zero errors
5.0
Rating
2
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Data expert: Fast typing, clean formatting, zero errors
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Automated AP Invoice Processing System (Excel & VBA)
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Messy spreadsheets and unformatted documents don't just look unprofessional—they actively waste your team's valuable time. If you are losing hours to manual copy-pasting, data cleanup, or fighting with stubborn Word formatting, let me take that operational burden off your plate. I specialize in transforming disorganized, raw data into clean, structured, and fully actionable business files. What I bring to your team: • High-accuracy manual data entry & database migration • Flawless PDF/Image to Excel file conversions • Spreadsheet deduplication and optimization • Polished corporate document formatting (MS Word) Check out my full service catalog, transparent pricing, and structured deliverables directly on my Contra portfolio. Let’s clean up your operations! 👇 🔗 somitguha462qkcow.contra.com (https://somitguha462qkcow.contra.com)
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Lead the identification, analysis, and cleaning of duplicate records within our large-scale corporate data repositories. My primary focus will be managing large Excel files (100,000+ rows) and connected databases, locating structural and partial redundancies, and streamlining data workflows to ensure data accuracy.
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The accounting data entry process converts raw financial paperwork into structured business reports through four essential phases: 📁 Phase 1: Input & Gathering – Collect source documents like vendor invoices, bank statements, and customer receipts, ensuring every transaction has physical or digital proof. 🏷️ Phase 2: Categorisation – Match each transaction to its specific account code using the company's Chart of Accounts, determining which asset, liability, revenue, or expense is affected. ⌨️ Phase 3: Recording (Double-Entry) – Enter details (date, reference number, description) into an accounting system or spreadsheet, ensuring total Debits exactly equal total Credits. 🔍 Phase 4: Reconciliation & Reporting – Compare the entries against independent bank statements at month-end to fix errors, lock the period, and automatically generate the final financial statements.
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Data Entry Specialist
(5)
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Fayyaz Ul Aziz
Hyderabad, India
Data Entry Specialist | Data Scraper & Lead List Generation
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Data Entry Specialist | Data Scraper & Lead List Generation
2
🔍 Completed Project: Data Scraping & Data Entry I recently completed a Data Scraping & Data Entry project for a client in the Professional Services industry, delivering accurate, structured, and actionable data. 📌 Project Highlights • Scraped relevant data from targeted online sources • Cleaned and organized the data for usability • Ensured precision and consistency throughout 📌 Result • Valuable insights for business decision-making • Clean, ready-to-use datasets • On-time delivery with full client satisfaction It was a rewarding experience to see the real impact of this data on the client’s workflow. If you need reliable data scraping, data entry, or business data insights, let’s connect. Fayyaz Ul Aziz Data Scraping | Data Entry Specialist
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📊 Completed Project: Data Collection & Data Entry – Financial Services Recently, I successfully completed a Data Collection & Data Entry project for a client in the Financial Services sector. 📌 Project Highlights • Collected and organized data across multiple financial companies • Ensured accuracy, consistency, and clean formatting • Structured the data for easy analysis and future use 📌 Result • Comprehensive, well-organized dataset • On-time delivery with full client satisfaction I really enjoyed collaborating on this project—clear communication and defined goals made the process smooth and efficient. If you’re looking for reliable data collection, financial research, or accurate data entry, let’s connect. Fayyaz Ul Aziz Data Entry Specialist | Lead Generation Expert
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🚀 Completed Project: Venture Capital Lead List & Data Entry (Fiverr) Recently, I successfully completed a Lead List Generation & Data Entry project for a client on Fiverr, focused specifically on Venture Capital firms. 📌 Project Scope • Researched Venture Capital companies • Collected accurate firm details and decision-maker data • Organized clean, structured data for easy use 📌 Outcome • High-quality, verified lead list • Clear and well-formatted entries • Delivered on time with full client satisfaction This was a project I truly enjoyed—great communication and a smooth workflow always lead to strong results. If you need targeted B2B lead lists, VC firm research, or precise data entry, I’d be happy to help. Fayyaz Ul Aziz Data Entry Specialist | Lead Generation Expert
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🚀 Showcasing My Freelance Experience & Recent Work Hi Contra community, I’m Fayyaz Ul Aziz, a Data Entry Specialist & Lead Generation Expert with 7+ years of experience on Fiverr and Upwork. I’ve worked with startups, agencies, and business owners, consistently delivering accurate, organized, and on-time results. 🔹 Experience Highlights • Top-rated freelancer on Fiverr • Upwork professional with 100% JSS • Now available on Contra for quality collaborations 🔹 Core Services • Data Entry & Cleaning • B2B Lead Generation & Web Research • Email & Company Data Collection • Data Scraping • PDF to Excel / Word Conversion 🔹 Why Clients Choose Me • High accuracy • Fast delivery • Clear communication Looking for reliable support to manage your business data? Let’s connect. Fayyaz Ul Aziz Data Entry Specialist | Lead Generation Expert
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157
Data Entry Specialist
(4)
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Mahesh Khedekar
Mumbai, India
Analytical, MIS and Expert in automating reports
New to Contra
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Analytical, MIS and Expert in automating reports
1
Integrating modern automation into daily business operations serves as a catalyst for eliminating repetitive manual overhead, drastically reducing human error, and accelerating critical decision-making cycles. By leveraging structured workflows through tools like SQL, Excel VBA macros, Power BI dashboards, and custom Python automation scripts, organizations can transform complex, fragmented datasets into dynamic, real-time reporting systems. Rather than spending valuable hours manually aggregating reports, cleansing raw data, or cross-referencing records across disparate databases, automated pipelines seamlessly process and visualize key metrics in real time. This operational shift not only enhances operational speed and analytical precision across functions like MIS and performance tracking, but it also frees up core team members to focus on high-impact strategic initiatives and proactive business growth. Name - Mahesh Narendra Khedekar Contact No -(+91) 7021027927 [fast responce Conntact with whatapp] Email ID - maheshkhedekar329@gmail.com
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Monthly Reinsurance Premium and Claim Register The Monthly Reinsurance Premium and Claim Register is an advanced Excel-based reporting and administration engine tailored for insurance operations, treaty accounts, and claims management. Designed to handle high-volume bordereaux files, this solution automates premium allocations, cession calculations, and claims recovery tracking across complex reinsurance treaties. By replacing manual spreadsheets with automated Power Query models, dynamic lookup formulas, and VBA macro pipelines, the system eliminates human calculation errors, prevents recovery leaks, and standardizes disparate insurance data streams into unified master logs. Key features include automated validation algorithms to flag cessions discrepancies, real-time tracking of paid versus pending claims, and interactive executive dashboards for audit readiness. Whether processing proportional treaties, excess of loss accounts, or monthly bordereaux statements, this workflow cuts monthly closing timelines by up to 80%. It delivers complete, transparent data lineage, robust audit trails, and zero-error execution for finance, underwriting, and reinsurance operations teams.
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Auto Generator Letter & Invoice
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Data Entry Specialist / MIS Data Analyst The primary objective of this project was to overhaul, digitize, and standardize a large volume of unstructured operational and product data across multiple platforms. The client required structured database entry, cross-platform synchronization, and error-reconciliation across inventory records, customer profiles, and transaction logs. By implementing strict validation controls and structured entry templates, the project eliminated manual transcription errors, streamlined monthly reporting cycles, and ensured 99.8% data accuracy across all core business systems. Key Responsibilities & Scope of Work 1. Data Processing & Database Entry 2. Data Cleaning & Reconciliation 3. Workflow Automation & Efficiency 4. Quality Control & Reporting more infomation contact to (+91) 70210272927/maheshkhedekar199gmail.com
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68
Data Entry Specialist
(4)
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gopal Gurjar
Indore, India
Excel & Data Entry Specialist | Power Query, KPI Dashboards
New to Contra
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Excel & Data Entry Specialist | Power Query, KPI Dashboards
0
📊 Messy Data → Clean Data I’m an Excel & Data Management Specialist helping businesses turn unorganized data into clean, accurate and professional spreadsheets. ✨ My Skills: • Excel & MS Office • Data Entry & Data Cleaning • Advanced Formulas • VLOOKUP / XLOOKUP / INDEX-MATCH • Pivot Tables & Reports • Excel Dashboards • MIS & Data Analysis • Professional Excel Templates 🎯 Clean Data. Accurate Work. Better Results. Let’s make your data work smarter! 🚀:
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📊 Automatic Attendance System in Excel I design clean, professional, and automated Excel solutions that reduce repetitive work and make business data easier to manage. This attendance system includes: • Dynamic monthly calendar • Automatic weekday calculation • Present, Absent, Holiday & Week Off tracking • Automatic attendance summaries • Employee-wise monthly totals • Clean and user-friendly dashboard My goal is simple: turn repetitive Excel tasks into smart, reliable, and easy-to-use systems. If you need a customized Excel attendance tracker, reporting system, MIS dashboard, or data management solution, feel free to connect with me
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Excel & Data Management Specialist | Data Entry | Power Query | AI Solutions I help businesses turn raw data into clean, organized, and useful information. I specialize in Microsoft Excel, Data Entry, Data Cleaning, Advanced Formulas, Pivot Tables, Power Query, Data Management, and AI-powered solutions. I can handle everything from accurate data entry and spreadsheet formatting to automated Excel reports, data transformation, dashboards, and AI chatbot solutions. What I can help with:🧠 Excel Data Entry & Formatting Data Cleaning & Management Advanced Excel Formulas Pivot Tables & Charts Power Query & Data Transformation Excel Reports & Dashboards PDF/CSV/Excel Data Conversion AI Chatbot & Automation Solutions I focus on accuracy, clear communication, timely delivery, and reliable service. Whether you need a one-time task or ongoing support, I'm ready to help. Let's work together and make your data work smarter. 🚀
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“Building an automated Excel Budget Planner with dashboards, expense tracking, and financial insights.”
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579
Data Entry Specialist
(4)
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Bharat Bhat
Kumta, India
Professional Data Cleaning and Bookkeeping services
New to Contra
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Professional Data Cleaning and Bookkeeping services
1
Hello guys, I am Bharat professional Bookkeeper where I take data from the client clean it and give the proper consistent and Structured Data Today I had Data of WellCare Health Clinic where I get the Messy and Inconsistent data of the clinic which I had fixed the problem What was the problem: 1.Was it Structured ❌ 2.Is (http://2.Is) the data provided Consistent and Not Broken ❌ 3.Is (http://3.Is) the data easily Recognisable by looking at it (like can we Identify it is expense, Utilities or Income ❌ 4.Is (http://4.Is) it maintained in proper format ❌ How I fixed it using Excel: 1.First, I categorize the data properly in a Structure ✅ 2.Then I put the data into proper format (Like 1/4/24 to 01-04-2024) ✅ 3.I just take out the Inconsistent, Broken and duplicate data into Consistent data ✅ 4.I made data easily Recognisable by looking it (Like We can easily identify expense utility and income by highlighting them. ✅ Left one is the messy and Inconsistent data and right one is Proper structured and Consistent Data If you are someone looking for Bookkeeping service, I will do it with proper analysis and with a proper disciplined structure. Thank you #Bookkeeping (https://www.linkedin.com/search/results/all/?keywords=%23bookkeeping&origin=HASH_TAG_FROM_FEED) #Dataentry (https://www.linkedin.com/search/results/all/?keywords=%23dataentry&origin=HASH_TAG_FROM_FEED) #India (https://www.linkedin.com/search/results/all/?keywords=%23india&origin=HASH_TAG_FROM_FEED) #USA (https://www.linkedin.com/search/results/all/?keywords=%23usa&origin=HASH_TAG_FROM_FEED) #Datacleaning (https://www.linkedin.com/search/results/all/?keywords=%23datacleaning&origin=HASH_TAG_FROM_FEED) #Australia (https://www.linkedin.com/search/results/all/?keywords=%23australia&origin=HASH_TAG_FROM_FEED) #UAE (https://www.linkedin.com/search/results/all/?keywords=%23uae&origin=HASH_TAG_FROM_FEED)
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The image is a visual comparison of the customer-lead data before and after cleanup for TechNova Solutions. Upper section: Messy data The upper section shows the information exactly as it was collected from business cards and signup sheets. It contains inconsistent capitalization, different phone-number formats, duplicate entries, incomplete fields, and possible spelling variations. For example, “ravi kumar” and “RAVI KUMAR” represent the same person, while Farhan Ali appears twice with slightly different company and phone formatting. Lower section: Organized and cleaned data The lower section is the CRM-ready version. Duplicate leads have been removed, names and company names have been standardized, email addresses have been converted to lowercase, and phone numbers have been formatted using the +91-XXXXXXXXXX pattern. A new Status column has also been added. Status Meaning Ready The lead has the required email and phone information. Needs Follow-up Important information, such as an email address or phone number, is missing or incomplete. The blank cells in the cleaned table are intentional. They indicate information that was not available in the original data; no details were invented. Overall, the image demonstrates how unstructured lead information can be transformed into a more consistent and usable CRM database.
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Hello Everyone This the Data of Vertex Media Agency which was Initially given Messy, Broken and Inconsistent Data What was the Problem: 1.Actually, Data was Broken 2.It (https://2.It) was Messy 3.Non-Structured 4.Inconsistent After Looking at the Data, I cleaned it and made it consistent, formatted, Structured Data What changed after Improving and cleaning the data: 1.The Data is properly Structured 2.It (https://2.It) is CRM Ready 3. (https://3.It)Consistent
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CRM Ready Data Cleaning
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Data Entry Specialist
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Rahul Desai
Bengaluru, India
Automation Consultant — n8n & Make.com | Lead Intake Systems
New to Contra
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Automation Consultant — n8n & Make.com | Lead Intake Systems
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Agency Onboarding Automation — From Contract to Project Launch Without Manual Setup Built a client onboarding machine for a digital agency that eliminates 2+ hours of manual admin every time a new client signs. THE PROBLEM: New client signs the contract → account manager manually creates a Slack channel, Google Drive folder, Asana project, and sends a welcome email 2 days later. Clients felt ignored. Projects started slow. Project managers wasted hours on setup instead of strategy. THE SYSTEM I BUILT: → TRIGGER: PandaDoc/HelloSign contract signature instantly fires webhook → QUALIFY: Parse contract value, service type (SEO, PPC, Web Design), and team size to determine onboarding tier (Standard vs. Premium) → CREATE: Auto-generate Slack channel with client + internal team, Google Drive folder structure with template documents, and Asana project from pre-built template with all milestones → ASSIGN: Push client data to HubSpot CRM, notify finance team in Slack, and assign project manager based on current workload and expertise match → WELCOME: Client receives personalized welcome email with project timeline, team contacts, kickoff meeting link, and onboarding checklist within 10 minutes of signing → SYNC: All project data synced to agency dashboard for leadership visibility THE RESULTS: • Onboarding initiation: 48 hours → 10 minutes • Admin time per new client: 2 hours → 5 minutes • Client satisfaction score (onboarding phase): +40% • Project setup consistency: 100% across all teams TECH STACK: Make.com (http://Make.com) | PandaDoc | Slack | Google Drive | Asana | HubSpot | Google Workspace WHY THIS WORKS: First impressions are everything. This system makes clients feel like they're working with a machine-precision agency from minute one — because they are.
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E-Commerce Auto-Fulfilment System — From Order to Label Without Touching a Spreadsheet Built a fully automated order-to-fulfillment pipeline for a D2C brand selling across Shopify, Amazon, and their own store. THE PROBLEM: The operations team manually copied orders into spreadsheets, checked inventory against 3 separate sources, created shipping labels one by one, and updated tracking numbers by hand. 3 hours of daily grunt work. 8% error rate. Delayed shipments. Angry customers asking "where is my order?" THE SYSTEM I BUILT: → CAPTURE: Shopify order webhook fires instantly on every purchase. Amazon SP-API pulls orders every 15 minutes into the same pipeline. → VALIDATE: Auto-check inventory in Google Sheets. Flag low-stock SKUs for reorder. Route expedited orders to priority queue. → PROCESS: Generate shipping label PDF automatically via Shiprocket API. Create invoice in Zoho Books. Update inventory count across all channels in real-time. → SYNC: Push order status, tracking number, revenue data, and shipping cost to master Google Sheets dashboard for ops visibility. → NOTIFY: Customer receives automated email/SMS with tracking link within 5 minutes of order confirmation. → ALERT: Operations manager gets daily summary + instant alert on failed orders with retry logic and error context. THE RESULTS: • Manual processing time: 3 hours/day → fully autonomous • Order processing errors: 8% → 0.2% • "Where is my order?" support tickets: -60% • Scales to 10,000+ orders/month without adding staff TECH STACK: Make.com (http://Make.com) | Shopify | Amazon SP-API | Google Sheets | Shiprocket | Zoho Books | Twilio | PDF Generator WHY THIS WORKS: E-commerce margins are thin. Every minute of manual processing and every fulfillment error eats profit. This system runs 24/7 without breaks, mistakes, or overtime pay.
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Real Estate Auto-Response System — Capture Every Inquiry in 60 Seconds Designed a 24/7 inquiry response engine for a real estate agency handling 50+ daily leads across property portals, Facebook, and WhatsApp. THE PROBLEM: Agents were responding to inquiries 4-6 hours later. By then, prospects had already contacted 3 competitors and scheduled viewings elsewhere. The agency was bleeding money on ad spend but losing deals to response speed. THE SYSTEM I BUILT: → CAPTURE: All form submissions and WhatsApp messages hit a unified n8n webhook → QUALIFY: Parse budget range, location preference, and property type from natural language inquiry text using regex + AI classification → MATCH: Query Airtable inventory database and return top 3 matching listings based on budget, location, and availability → RESPOND: Send personalized WhatsApp auto-reply with listing photos, prices, and agent contact within 60 seconds — 24/7, even at 2 AM → LOG: Every conversation automatically logged to Airtable CRM with full context → FOLLOW-UP: Create follow-up task with reminder for agent if no response within 24 hours → ALERT: Agent gets mobile Slack notification with full inquiry context, suggested response, and client LinkedIn profile THE RESULTS: • First response time: 4 hours → under 60 seconds • Inquiries lost to delay: 0 • Agent conversations handled per day: 3x increase • Listing view-to-meeting conversion: +35% TECH STACK: n8n | Airtable | WhatsApp Business API | Google Forms | Slack WHY THIS WORKS: In real estate, speed wins. This system ensures every inquiry gets a personalized, instant response with matching listings — while the prospect is still interested.
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AI-Powered Lead Qualification System — Zero Manual Data Entry Built an end-to-end lead capture and qualification system for a B2B service business using Make.com (http://Make.com), OpenAI GPT-4, and HubSpot. THE PROBLEM: The sales team was manually copying lead data from forms into CRM, losing 6+ hours per day and missing hot leads entirely. By the time a rep reached out, the prospect had already talked to 3 competitors. THE SYSTEM I BUILT: → CAPTURE: Typeform webhook triggers automation the instant a form is submitted → QUALIFY: OpenAI GPT-4 scores lead intent (1-10) based on message content, budget signals, and role seniority → ENRICH: Apollo.io (http://Apollo.io) API appends company size, revenue, tech stack, and LinkedIn URL automatically → ROUTE: Hot leads (score 7+) create HubSpot deals + instant Slack alert to assigned sales rep with full context → NURTURE: Cold leads enter a 7-day email sequence before sales touches them → SYNC: Bi-directional sync between HubSpot and Google Sheets reporting dashboard for real-time pipeline visibility THE RESULTS: • Lead-to-CRM time: 4 hours → 90 seconds • Sales rep prep time per lead: 15 minutes → 30 seconds • Data loss rate: 0% • Sync accuracy: 99.7% TECH STACK: Make.com (http://Make.com) | OpenAI GPT-4 | HubSpot | Apollo.io (http://Apollo.io) | Slack | Google Sheets | Typeform WHY THIS WORKS: Sales teams shouldn't do data entry. This system ensures every lead is scored, enriched, and routed before the prospect even closes the Typeform tab.
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Data Entry Specialist
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Shyam Tanwar
Pune, India
Lead Generation Expert, B2B Leads, Verified Emails
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Lead Generation Expert, B2B Leads, Verified Emails
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Singapore IT LinkedIn Leads
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You will get urgent linkedin lead generation
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Real Estate Company Leads In UK
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