Freelancers using Zoho CRM in New Delhi
Freelancers using Zoho CRM in New Delhi
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Nishant Kumar
Delhi, India
AI Integration & Automation Engineer | Full-Stack Web Apps
1x
Hired
5.0
Rating
22
Followers
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AI Integration & Automation Engineer | Full-Stack Web Apps
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Shopify Store ( Marketing + E-commerce Management )
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19
1
Flowbit: Next-Generation Digital Experiences with Framer
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9
1
Redesigned Custom Website
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22
1
Framer Development for Soundwave Records
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11
Zoho CRM
(1)
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Ajay Bidyarthy- AI Full Stack Developer
Delhi, India
Build production-ready AI applications with Machine Learning
14
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Build production-ready AI applications with Machine Learning
0
I design and implement intelligent marketing automation systems that combine AI with robust CRM platforms to streamline customer engagement, lead management, and business workflows. By integrating advanced AI capabilities with tools like Zoho, Zapier, Make, and n8n, I help businesses automate repetitive tasks, personalize customer interactions, and improve conversion rates. This solution enables organizations to move beyond traditional marketing by leveraging AI-driven insights, automated workflows, and seamless CRM integration. From lead capture to nurturing and conversion, the entire customer journey is optimized through smart automation and data-driven decision-making. I have built scalable systems that connect multiple platforms, automate multi-step processes, and incorporate AI models such as Claude for intelligent responses, content generation, and workflow enhancement. The result is a highly efficient, low-maintenance marketing ecosystem that saves time, reduces manual effort, and drives measurable growth. Skills: 🔹 AI Automation & Workflow Design 🔹 CRM Integration & Optimization 🔹 Marketing Automation Strategy 🔹 Prompt Engineering (LLMs) 🔹 API Integration & Webhooks 🔹 Data Flow Architecture 🔹 Business Process Automation
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125
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A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.
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127
6
AI Chatbot Application Development
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960
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I offer AI, data science, analytics, software development, cloud computing, cybersecurity, and digital transformation services for startups and enterprises. My expertise includes machine learning, generative AI, big data analytics, business intelligence, web and mobile app development, IoT solutions, and enterprise automation. I also provide consulting, staffing, and industry-specific solutions for healthcare, finance, retail, insurance, energy, and supply chain businesses.
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129
Zoho CRM
(1)
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Jatin Agrahari
New Delhi, India
Zoho CRM & Lead Automation Specialist
New to Contra
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Zoho CRM & Lead Automation Specialist
1
Zoho CRM Real Estate Lead-to-Appointment Automation System
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3
0
Production-Grade GoHighLevel AI Appointment Booking & Lead Nurture System. Designed and implemented a production-grade GoHighLevel automation ecosystem that manages the complete lead-to-client journey. The system automatically captures leads, qualifies prospects using AI-driven workflows, nurtures engagement through automated follow-ups, schedules appointments, manages opportunities, and tracks performance through executive dashboards. Services Provided😍 1. CRM Architecture & Implementation 2. GoHighLevel Automation 3. AI Lead Qualification 4. Lead Nurture Automation 5. Appointment Booking Systems 6. Sales Pipeline Automation 7. Workflow Design & Optimization 8. Reporting & Analytics Tools Used -> GoHighLevel, Make.com, GroqAI
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27
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AI-Powered Lead Intake, Qualification & CRM Operating System Designed and built a production-grade AI-powered lead conversion system that automatically captures, qualifies, enriches, and routes leads into a CRM without manual intervention. The system combines Airtable, Make.com (http://Make.com), HubSpot CRM, Groq AI, Twilio, and WhatsApp to create a complete lead management workflow. New leads are automatically analyzed by AI, assigned qualification scores, enriched with business insights, synced to HubSpot CRM, and prepared for outreach and sales follow-up. Key capabilities include AI lead scoring, qualification summaries, CRM synchronization, WhatsApp automation, lead enrichment, duplicate prevention, activity tracking, and automated pipeline management. The result is a scalable sales automation system that reduces manual data entry, improves lead response speed, and provides sales teams with qualified, actionable opportunities.
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48
1
Agency Sales Pipeline & Outreach CRM Built in Airtable
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5
Zoho CRM
(1)
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Manish Siwach
Delhi, India
AI Product Operations | Workflow Automation & CRM Systems
New to Contra
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AI Product Operations | Workflow Automation & CRM Systems
0
Problem : -Sales teams lose time manually reviewing and routing incoming leads across multiple CRM systems. Solution :- Designed a workflow that captures leads, applies qualification rules, routes high-confidence leads automatically, and sends ambiguous cases to human review. Workflow:- Lead capture ->Qualification ->AI scoring->CRM routing->Human review queue->Integration monitoring. Tools :- n8n, HubSpot, Zoho CRM, Salesforce, Webhooks, APIs Outcome :-Created an operational workflow that reduced manual routing effort and demonstrated how automation and human review can work together in lead management processes.
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67
1
AI-Powered Hiring Workflow
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2
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Designed and prototyped an AI-powered customer support operations system for ticket classification, routing, escalation management, and SLA tracking. The workflow automates ticket intake, priority assignment, support routing, and escalation handling while maintaining human review checkpoints for critical cases. The system provides operational visibility through automation health monitoring, support analytics, and integration management across multiple business systems.
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53
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Built an AI-assisted hiring workflow using n8n, Supabase, and LLM APIs to explore workflow automation, candidate evaluation, human review checkpoints, and recruiter workflow visibility. During testing, the project revealed several operational challenges around trust, uncertainty, and automation boundaries that influenced the system design.
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93
Zoho CRM
(1)
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Viicky Verma
Delhi, India
Expert Lead Gen & AI Automation Specialist
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Expert Lead Gen & AI Automation Specialist
0
Email Marketing Campaigns to Boost Engagement and Sales
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4
0
Email Marketing Campaigns to Boost Engagement and Sales
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4
0
Comprehensive Social Media Marketing and Management
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6
0
SEO Strategy and Optimization for Small to Mid-Sized Businesses
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3
Zoho CRM
(2)
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Trashu Vashisth
Delhi, India
Building Production-Grade AI Agents & RAG Systems
14
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Building Production-Grade AI Agents & RAG Systems
2
Developed a highly responsive AI Voice Agent using Vapi that handles real-time conversations with exceptional clarity. The agent is designed to engage users naturally, gather specific information during the call, and accurately extract that data for further use. The voice quality for both the user and the bot is seamless, making the interaction feel professional and human-like
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148
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The Problem: Sales teams waste 60% of their time researching leads instead of closing them. The Solution: I built a custom Agentic AI Pipeline that automates deep-dive business intelligence and lead scoring. Key Technical Highlights: Multi-Agent Architecture: Built using CrewAI, featuring a 'Business Intelligence Specialist' (for real-time research) and a 'Senior Sales Director' (for strategic scoring). High-Speed Intelligence: Powered by Llama 3.3-70B for near-instant reasoning and decision-making. Real-time Web Scoping: Integrated Tavily AI to fetch live revenue data, employee counts, and market positioning. Enterprise Storage: A robust SQLite backend to manage lead pipelines with a sleek Streamlit dashboard. Smart Throttling: Engineered custom rate-limiting and token-trimming logic to ensure 99.9% uptime even under heavy API constraints. How it works: Simply enter a company name and URL. The AI agents scour the web, analyze the company's "AI potential," calculate a priority score (0-100), and even write a personalized sales pitch—all in under 30 seconds.
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78
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I built a professional, end-to-end AI Receptionist system designed to automate clinic appointment management. This isn't just a chatbot; it's an AI Agent that can reason, use tools, and manage a live database autonomously. Key Contributions: Agentic Reasoning: Integrated CrewAI with Llama 3.3 (Groq) to enable the agent to understand complex user intents (Booking vs. Cancellation) and relative time (e.g., "next Tuesday at 3pm"). Autonomous Tool Use: Developed custom Python tools that allow the agent to verify real-time availability in a SQLite database and execute atomic transactions without human intervention. High-Performance Backend: Built a robust API using FastAPI to handle asynchronous requests between the AI agent and the database. Premium Dashboard: Designed a modern, Glassmorphic UI using Tailwind CSS that provides a real-time sync of the clinic’s schedule. The Result: A seamless, hands-free system that reduces administrative overhead by 100%, allowing clinic staff to focus on patients while the AI handles the entire scheduling lifecycle. Tech Stack: Python, CrewAI, Groq API, FastAPI, SQLite, Tailwind CSS
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91
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An autonomous AI system that turns a simple voice command into a deep-dive research report in seconds. No typing, no manual searching. Key Highlights: Voice Control: Uses Speech-to-Text for hands-free research triggers. Multi-Agent Intelligence: Powered by CrewAI & Llama 3.3 (Groq) to find, verify, and summarize live web data. Voice Synthesis: Delivers an instant audio summary via ElevenLabs. Automated Export: Generates a professional PDF report automatically. Tech Stack: CrewAI, Groq, ElevenLabs, Streamlit, DuckDuckGo API.
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103
Zoho CRM
(1)
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Vardan wadhwa
Delhi, India
AI Project Manager for Business Growth 🚀
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AI Project Manager for Business Growth 🚀
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AI-Driven Efficiency Boost at Cloud Prism
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8
0
Boosting Engagement and SEO with AI Initiatives
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9
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From Concept to Market Leader: Revolutionizing Security Solution
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5
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Revamping Project Management and Revenue Growth
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8
Zoho CRM
(1)
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Andalib Khusro
Delhi, India
Google & Meta Ads for B2B SaaS | Lead Gen Specialist
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Google & Meta Ads for B2B SaaS | Lead Gen Specialist
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Project REPORT -Flowdit
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11
1
I tried to build AEO tool myself by vibe_coding it. Even though I am a Digital Marketer, PPC specialist. It is not fully working yet but would love feedback from fellow freelancers on ui, backend or anything you think I should improve in the webapp or in this video . It's my first time posting on any platform.
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45
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Most ecommerce brands waste budget running all 3 platforms the same way. Here's the truth: Google closes. Meta convinces. TikTok discovers. They're not competitors — they're a funnel. Google Ads = capture demand that already exists. If someone's searching "buy X" — you need to be there. High intent, lower funnel, fastest path to purchase. Meta Ads = create demand before it exists. Nobody woke up searching for your product. Meta makes them stop, feel something, and click anyway. Creative is the algorithm. TikTok Ads = discover demand before it becomes demand. Native content, hooks, entertainment-first. TikTok Shop is changing the game for impulse buys. The mistake? Running Google-style creative on Meta. Or expecting TikTok to convert like Search. Each platform has its own psychology. Match the message to the medium. I run full-funnel paid media setups for ecommerce, SAAS B2B brands — Google + Meta strategy, tracking, and creative direction that actually converts. Working on a paid ads strategy for 2026? Drop a comment or DM me.
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26
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Google and meta ads set-up and management.
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4
Zoho CRM
(1)
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