Freelance Data Entry Specialists in Bengaluru
Freelance Data Entry Specialists in Bengaluru
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Rahul Desai
Bengaluru, India
Automation Consultant β n8n & Make.com | Lead Intake Systems
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Automation Consultant β n8n & Make.com | Lead Intake Systems
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Agency Onboarding Automation β 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 β 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: β TRIGGER: PandaDoc/HelloSign contract signature instantly fires webhook β QUALIFY: Parse contract value, service type (SEO, PPC, Web Design), and team size to determine onboarding tier (Standard vs. Premium) β 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 β ASSIGN: Push client data to HubSpot CRM, notify finance team in Slack, and assign project manager based on current workload and expertise match β WELCOME: Client receives personalized welcome email with project timeline, team contacts, kickoff meeting link, and onboarding checklist within 10 minutes of signing β SYNC: All project data synced to agency dashboard for leadership visibility THE RESULTS: β’ Onboarding initiation: 48 hours β 10 minutes β’ Admin time per new client: 2 hours β 5 minutes β’ Client satisfaction score (onboarding phase): +40% β’ 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 β because they are.
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E-Commerce Auto-Fulfilment System β 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: β CAPTURE: Shopify order webhook fires instantly on every purchase. Amazon SP-API pulls orders every 15 minutes into the same pipeline. β VALIDATE: Auto-check inventory in Google Sheets. Flag low-stock SKUs for reorder. Route expedited orders to priority queue. β PROCESS: Generate shipping label PDF automatically via Shiprocket API. Create invoice in Zoho Books. Update inventory count across all channels in real-time. β SYNC: Push order status, tracking number, revenue data, and shipping cost to master Google Sheets dashboard for ops visibility. β NOTIFY: Customer receives automated email/SMS with tracking link within 5 minutes of order confirmation. β ALERT: Operations manager gets daily summary + instant alert on failed orders with retry logic and error context. THE RESULTS: β’ Manual processing time: 3 hours/day β fully autonomous β’ Order processing errors: 8% β 0.2% β’ "Where is my order?" support tickets: -60% β’ 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 β 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: β CAPTURE: All form submissions and WhatsApp messages hit a unified n8n webhook β QUALIFY: Parse budget range, location preference, and property type from natural language inquiry text using regex + AI classification β MATCH: Query Airtable inventory database and return top 3 matching listings based on budget, location, and availability β RESPOND: Send personalized WhatsApp auto-reply with listing photos, prices, and agent contact within 60 seconds β 24/7, even at 2 AM β LOG: Every conversation automatically logged to Airtable CRM with full context β FOLLOW-UP: Create follow-up task with reminder for agent if no response within 24 hours β ALERT: Agent gets mobile Slack notification with full inquiry context, suggested response, and client LinkedIn profile THE RESULTS: β’ First response time: 4 hours β under 60 seconds β’ Inquiries lost to delay: 0 β’ Agent conversations handled per day: 3x increase β’ 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 β while the prospect is still interested.
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AI-Powered Lead Qualification System β 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: β CAPTURE: Typeform webhook triggers automation the instant a form is submitted β QUALIFY: OpenAI GPT-4 scores lead intent (1-10) based on message content, budget signals, and role seniority β ENRICH: Apollo.io (http://Apollo.io) API appends company size, revenue, tech stack, and LinkedIn URL automatically β ROUTE: Hot leads (score 7+) create HubSpot deals + instant Slack alert to assigned sales rep with full context β NURTURE: Cold leads enter a 7-day email sequence before sales touches them β SYNC: Bi-directional sync between HubSpot and Google Sheets reporting dashboard for real-time pipeline visibility THE RESULTS: β’ Lead-to-CRM time: 4 hours β 90 seconds β’ Sales rep prep time per lead: 15 minutes β 30 seconds β’ Data loss rate: 0% β’ 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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Kairuppala Veena
Bengaluru, India
I can type fast
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I can type fast
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β‘α΄©ΚΙͺyα΄β‘ on Instagram: βHe is so cute π₯Ίβ€οΈπ»his last smileπ . .β¦
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Ramcharan Patil on Instagram: βUnveiling of Adiyogi : 15 Jan 20β¦
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α°κ°κ¦ΏΡoΟ raΠ²Π½α°κ°κ¦Ώ on Instagram: βB H O L E N A T H β€π . . . #bholeβ¦
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Sandeep Tripathi
Bengaluru, India
Experienced Virtual Assistant & Business Manager
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Experienced Virtual Assistant & Business Manager
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Streamlined Daily Operations for E-commerce Client
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Social Media Campaign for Local Business
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6
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eCommerce & Social Media Management
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1
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BALA JESS
Bengaluru, India
DATA CLEANING, ANALYSIS & VISUALIZATION
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DATA CLEANING, ANALYSIS & VISUALIZATION
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IMAGE TO TEXT TYPING - DATA ENTRY
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5
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INTERACTIVE DASHBOARD OF SALES PERFORMANCE - THOMAS COOKIES
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5
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AMAZON SALES DASHBOARD
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6
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Khushidhar Reddy Vennapusa
Bengaluru, India
Data Entry, MS-Excel, Data Cleaning, Formatting, Copy Typing
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Data Entry, MS-Excel, Data Cleaning, Formatting, Copy Typing
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This was the sample project that i have practice by getting the raw data from the online.
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This is the practice marks sheet, i have collected the data of the students from my class and created these data entries by formatting the raw data.
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I have designed the habit tracker for one of my friends by knowing in what activities he wanted to track his progress.
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I have collected the raw data from emails and processed it and made a record for the lead generation campaign.
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65
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(5)
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Nabanita Chakraborty
Bengaluru, India
Content Writer & Data Entry Specialist
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Content Writer & Data Entry Specialist
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Customer Support
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5
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Data Analysis and Entry
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Corporate Credit Card & Relocation Card Audit
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15
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Syed Shariff
Bengaluru, India
Data Analysis Specialist
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Data Analysis Specialist
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Excel Cleaning and formating
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3
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Excel Cleaning and formating done
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9
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Product Description added for a special product
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3
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Asma Tamanna
Bengaluru, India
Versatile copy expert for hire π
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Versatile copy expert for hire π
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Accounts
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8
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Data Entry
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6
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Copy Writing
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5
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