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FEATRUED PROJECTS
Automated Shopify Order Confirmation & Email Notification System
Automated Shopify Order Confirmation & Email Notification System
Designed and implemented an automated order notification workflow for an e-commerce business using Zapier and Gmail
Designed and implemented an automated order notification workflow for an e-commerce business using Zapier and Gmail
The system automatically detects new paid orders from shopify store and instantly sends personalized confirmation emails to customers containing their order task. It also notifies the store owner in real time, eliminating the need for manual follow up and improving operational efficiency.
The system automatically detects new paid orders from shopify store and instantly sends personalized confirmation emails to customers containing their order task. It also notifies the store owner in real time, eliminating the need for manual follow up and improving operational efficiency.
Key Responsibilities
Key Responsibilities
Automated instant order confirmation emails
Personalized customer messages using dynamic order data
Real-time admin/store-owner notifications
Integration between e-commerce platform and Gmail via Zapier
Workflow testing, debugging, and deployment
Reduced manual communication processes
Results Achieved
Eliminated manual order confirmation emails
Improved customer response speed through instant automation
Enhanced customer experience and brand professionalism
Reduced repetitive administrative tasks for the business owner
Created a reliable hands-free notification system for e-commerce operations
Smart Lead Management Automation
Smart Lead Management Automation
Built an automated lead management system using Zapier, Hubspot, Google Sheets, and Gmail to capture, organize, qualify and nurture leads automatically
Built an automated lead management system using Zapier, Hubspot, Google Sheets, and Gmail to capture, organize, qualify and nurture leads automatically
The system automatically captures new leads, organizes them inside Hubspot CRM, sends personalized welcome emails, and intelligently classifies leads based on budget and service interest using zapier paths. High priority leads are instantly flagged and handled differently from regular leads, while low priority leads receive automated follow up messages and after a delay - ensuring no potential client is ignored.
The system automatically captures new leads, organizes them inside Hubspot CRM, sends personalized welcome emails, and intelligently classifies leads based on budget and service interest using zapier paths. High priority leads are instantly flagged and handled differently from regular leads, while low priority leads receive automated follow up messages and after a delay - ensuring no potential client is ignored.
The project demonstrates advanced workflow automation, CRM integration, conditional logic, lead qualification, and automated client communication.
Key Responsibilities
Key Responsibilities
Automated lead capture and CRM updates
Built intelligent lead qualification workflows
Configured personalized email automation
Managed zapier multi-step workflow paths
Organized and maintained Hubspot CRM records
Implemented automated follow-up responses
Integrated Google sheets, Hubspot and Gmail
Optimized business workflow efficiency
Results Achieved
Reduced manual order processing communication by 100%.
Improved customer response time through instant email delivery.
Increased professionalism and customer result.
Enabled fully automated order communication workflow.
Saved business owners significant daily operational time.
E-commerce Automation System
E-commerce Automation System
Designed an automated e-commerce workflow integrating Shopify, Google Sheets, Zapier and Hubspot for streamlined order management, CRM organization, and backend process automation.
Designed an automated e-commerce workflow integrating Shopify, Google Sheets, Zapier and Hubspot for streamlined order management, CRM organization, and backend process automation.
The project combined Shopify store product management, Google sheets order simulation, Zapier automation workflows, and Hubspot CRM Integration to create a connected backend system. The workflow automated customer and order data handling, improved inventory organization, and demonstrated how automation can streamline e-commerce operations efficiently.
The project combined Shopify store product management, Google sheets order simulation, Zapier automation workflows, and Hubspot CRM Integration to create a connected backend system. The workflow automated customer and order data handling, improved inventory organization, and demonstrated how automation can streamline e-commerce operations efficiently.
Key Responsibilities
Key Responsibilities
Created and managed Shopify product listings with multiple variants
Organized inventory for accurate stock tracking and product management
Structured customer data inside Hubspot CRM
Set up customer segmentation for new, returning and VIP customers
Simulated customer orders using Google sheets
Built automated workflow using Zapier
Connected Google sheets with Hubspot for automatic data transfer
Tested and monitored automation workflows for smooth operation
Maintained data accuracy across integrated platforms
Designed a scalable backend workflow for e-commerce operations
Results Achieved
Successfully developed and implemented a fully functional e-commerce backend automation system that streamlined core business operations and improved workflow efficiency by over 60%.
Automated the transfer and synchronization of customer and order data between platforms, significantly reducing manual administrative workload and minimizing human error.
Eliminated repetitive processes and optimized daily operations, saving valuable time and increasing overall productivity across business functions.
Improved the organization, accessibility, and management of inventory and customer records, leading to more structured and efficient business operations.
Simulated real-world automation workflows without live transactions, demonstrating practical system integration, backend process management, and operational scalability.
Designed scalable automation systems capable of supporting long-term business growth, increased order volume, and expanding operational demands.
Strengthened operational efficiency through strategic system integration and backend automation, creating smoother workflows and more reliable business processes.
AI Recruitment & Employee Onboarding Automation Workflow
AI Recruitment & Employee Onboarding Automation Workflow
Designed and built an end-to-end AI-powered recruitment automation system that streamlines the hiring process from candidate application to employee onboarding.
Designed and built an end-to-end AI-powered recruitment automation system that streamlines the hiring process from candidate application to employee onboarding.
The system automatically captures applications, evaluates candidate suitability using AI, schedules interviews, updates candidate records, and initiates onboarding workflows for successful applicants. By connecting multiple tools into a single workflow, the solution reduces manual HR workload while improving response times and candidate experience.
The system automatically captures applications, evaluates candidate suitability using AI, schedules interviews, updates candidate records, and initiates onboarding workflows for successful applicants. By connecting multiple tools into a single workflow, the solution reduces manual HR workload while improving response times and candidate experience.
Key Responsibilitiess
Key Responsibilitiess
- Designed an automated workflow covering application intake, candidate evaluation, interview scheduling, and onboarding.
- Integrated AI-based resume analysis to assess applicant suitability.
- Automated candidate filtering based on predefined qualification criteria.
- Reduced the need for manual first-round resume reviews.
- Built automated application collection and data management processes.
- Automated interview scheduling using Calendly integration.
- Configured email sequences for candidate communication and status updates.
- Automated onboarding initiation for successful candidates.
- Delivered onboarding instructions, required documentation, and next-step communications automatically.
- Ensured candidate records transitioned seamlessly into onboarding workflows.
- Centralized candidate information within Google Sheets.
- Automated record updates across the recruitment pipeline.
- Created a structured system for tracking applicants through every hiring stage.
Results Achieved
Reduced HR Administrative Work – Automated repetitive recruitment tasks, cutting manual effort by up to 80%.
Accelerated Candidate Processing – Reduced screening and shortlisting time from hours to minutes using AI-powered evaluation.
Streamlined Interview Scheduling – Eliminated manual scheduling and reduced interview coordination delays.
Improved Data Accuracy – Automated candidate record updates, minimizing manual data entry and human errors.
Standardized Recruitment Workflow – Ensured consistent candidate handling and follow-up across all hiring stages.
Enhanced Candidate Experience – Delivered faster communication, timely updates, and smoother onboarding.
Increased Operational Scalability – Enabled the recruitment process to handle higher application volumes without additional administrative workload.
Optimized Hiring Efficiency – Connected recruitment and onboarding into a single automated workflow, reducing process bottlenecks.
Employee Leave Management Automation System
Employee Leave Management Automation System
Built an Employee Leave Management Automation System that streamlines leave request submissions and automates notifications between employees and HR.
Built an Employee Leave Management Automation System that streamlines leave request submissions and automates notifications between employees and HR.
The system automatically captures applications, evaluates candidate suitability using AI, schedules interviews, updates candidate records, and initiates onboarding workflows for successful applicants. By connecting multiple tools into a single workflow, the solution reduces manual HR workload while improving response times and candidate experience.
The system automatically captures applications, evaluates candidate suitability using AI, schedules interviews, updates candidate records, and initiates onboarding workflows for successful applicants. By connecting multiple tools into a single workflow, the solution reduces manual HR workload while improving response times and candidate experience.
Key Responsibilities
Key Responsibilities
- Designed the end-to-end leave request workflow.
- Built a leave request form using Google Forms.
- Automated leave request data capture into Google Sheets.
- Configured Zapier workflows to process submissions automatically.
- Set up instant email notifications for employees and HR personnel.
- Created a centralized leave tracking database.
- Tested and optimized workflow reliability and data accuracy.
Results Achieved
Reduced Manual Leave Processing – Automated leave request submission and record management.
Faster HR Response Times – Enabled instant notification delivery to HR upon submission.
Improved Record Accuracy – Eliminated manual data entry and reduced administrative errors.
Centralized Leave Tracking – Created a single source of truth for employee leave records.
Enhanced Employee Experience – Simplified leave applications through a self-service process.
Increased Operational Efficiency – Reduced repetitive HR administrative tasks through automation.
Scalable Workflow Design – Built a system capable of handling growing employee leave requests without additional administrative effort.
AI Powered Business Audit & Automated Client Reporting System
AI Powered Business Audit & Automated Client Reporting System
I designed and built an end-to-end AI automation system that transforms a business owner's responses into a personalized AI Business Audit Report—without manual intervention.
I designed and built an end-to-end AI automation system that transforms a business owner's responses into a personalized AI Business Audit Report—without manual intervention.
The workflow begins with a Google Form where business owners provide information about their operations, challenges, and goals. The responses are automatically analyzed by AI to identify workflow bottlenecks, automation opportunities, and actionable recommendations. A professionally formatted audit report is then generated as a PDF and delivered directly to the client's inbox.
The workflow begins with a Google Form where business owners provide information about their operations, challenges, and goals. The responses are automatically analyzed by AI to identify workflow bottlenecks, automation opportunities, and actionable recommendations. A professionally formatted audit report is then generated as a PDF and delivered directly to the client's inbox.
This solution streamlines the client onboarding and audit process, enabling businesses to receive valuable insights quickly while significantly reducing the time required for manual analysis and report preparation.
This solution streamlines the client onboarding and audit process, enabling businesses to receive valuable insights quickly while significantly reducing the time required for manual analysis and report preparation.
Key Responsibilities
Key Responsibilities
- Designed the complete business audit workflow from data collection to report delivery.
- Built automated integrations between Google Forms, Google Sheets, AI by Zapier, Google Docs, Google Drive, and Gmail.
- Developed AI prompts to generate personalized business audits based on each client's responses.
- Created a branded report generation system that automatically formats audit findings into professional PDF reports.
- Configured automated email delivery for both internal notifications and client-facing reports.
- Tested, optimized, and debugged the workflow to ensure reliable end-to-end automation.
- Designed the system to be scalable, requiring minimal manual intervention for future audits.
Results Achieved
Reduced the business audit process from 30–60 minutes of manual work to under 5 minutes of automated processing.
Automated 100% of the audit workflow, from questionnaire submission to report generation and delivery.
Eliminated repetitive administrative tasks involved in collecting responses, analyzing data, creating reports, and sending emails.
Delivered personalized, professional AI audit reports with consistent formatting and recommendations for every submission.
Built a scalable system capable of processing multiple business audits simultaneously without increasing manual workload.
Improved response speed by enabling clients to receive their audit shortly after submitting the questionnaire.
AI Executive Assistant – Automated Meeting Scheduling & CRM Workflow
AI Executive Assistant – Automated Meeting Scheduling & CRM Workflow
Designed and implemented an AI-powered meeting scheduling system using Zapier to automate the entire appointment booking process.
Designed and implemented an AI-powered meeting scheduling system using Zapier to automate the entire appointment booking process.
The solution intelligently processes meeting requests, categorizes them using AI, sends confirmation emails, creates calendar events with Google Meet links, updates customer records in HubSpot CRM, and automatically sends meeting reminders. This workflow eliminates repetitive administrative tasks, improves response times, and ensures a seamless scheduling experience for both businesses and clients.
The solution intelligently processes meeting requests, categorizes them using AI, sends confirmation emails, creates calendar events with Google Meet links, updates customer records in HubSpot CRM, and automatically sends meeting reminders. This workflow eliminates repetitive administrative tasks, improves response times, and ensures a seamless scheduling experience for both businesses and clients.
Key Responsibilities
Key Responsibilities
- Designed the end-to-end workflow architecture for automated meeting scheduling.
- Built a multi-step automation using Zapier.
- Integrated Google Forms to capture meeting requests.
- Configured AI by Zapier to summarize and classify meeting requests by type and priority.
- Implemented automated acknowledgment emails using Gmail.
- Automated Google Calendar event creation with Google Meet integration.
- Integrated HubSpot CRM to create and update contact records.
- Configured date and time formatting for scheduling logic.
- Built automated reminder workflows using Delay by Zapier.
- Tested, debugged, and optimized the workflow to ensure reliable execution.
- Validated automation runs and resolved integration and field-mapping issues.
Results Achieved
Designed and deployed an AI-powered workflow that automates the complete meeting scheduling lifecycle—from request intake to calendar booking and reminder delivery.
Eliminated repetitive administrative work by integrating 8 business applications into a single intelligent automation.
Reduced workflow complexity by replacing multiple manual processes with a unified, event-driven automation.
Improved customer responsiveness through automated acknowledgment emails and AI-assisted request processing.
Increased scheduling accuracy by automatically creating Google Calendar events with Google Meet links and synchronized meeting details.
Improved data consistency by automatically capturing and maintaining customer information in HubSpot CRM.
Built reusable automation logic that can be customized for organizations handling high volumes of consultations, sales calls, onboarding sessions, and client meetings.
Demonstrated expertise in AI workflow orchestration, business process automation, API-based integrations, and no-code solution design.
AI-Powered Business Email Management & Intelligent Response Automation System
AI-Powered Business Email Management & Intelligent Response Automation System
Designed and implemented an AI-powered email management system using Zapier, OpenAI, Gmail, HubSpot CRM, and Google Sheets to automate the classification, routing, and handling of incoming business emails.
Designed and implemented an AI-powered email management system using Zapier, OpenAI, Gmail, HubSpot CRM, and Google Sheets to automate the classification, routing, and handling of incoming business emails.
.The solution intelligently analyzes every incoming email using AI, classifies it into predefined business categories, and automatically executes the appropriate workflow based on the email type. Sales inquiries are automatically captured in HubSpot CRM and receive personalized AI-generated responses, customer support requests receive contextual support replies, while meeting requests trigger acknowledgment emails, internal team notifications, and centralized activity logging.
.The solution intelligently analyzes every incoming email using AI, classifies it into predefined business categories, and automatically executes the appropriate workflow based on the email type. Sales inquiries are automatically captured in HubSpot CRM and receive personalized AI-generated responses, customer support requests receive contextual support replies, while meeting requests trigger acknowledgment emails, internal team notifications, and centralized activity logging.
The automation eliminates repetitive manual email processing, improves response speed, ensures every customer inquiry is tracked, and enables teams to focus on higher-value tasks while maintaining consistent customer communication.
The automation eliminates repetitive manual email processing, improves response speed, ensures every customer inquiry is tracked, and enables teams to focus on higher-value tasks while maintaining consistent customer communication.
Key Responsibilities
Key Responsibilities
- Designed and implemented an end-to-end AI-powered email automation workflow using Zapier.
- Built an intelligent AI email classification system to automatically categorize incoming emails based on business intent.
- Developed conditional multi-path workflows to route emails into dedicated business processes.
- Automated lead capture by creating or updating customer records in HubSpot CRM for all sales inquiries.
- Designed AI-powered personalized email response generation for sales inquiries, customer support requests, and meeting acknowledgments.
- Integrated Gmail to automatically send context-aware customer responses without manual intervention.
- Built automated Google Sheets logging to create a centralized audit trail of all processed emails.
- Configured internal notification workflows to instantly alert the team whenever new meeting requests are received.
- Designed reusable workflow architecture that can be expanded to support additional business departments and email categories.
- Tested and validated multiple workflow scenarios to ensure reliable automation across different email types.
Results Achieved
Reduced manual email triage effort by up to 90% through AI-powered automatic email classification and routing.
Reduced customer response time from several hours to under 60 seconds using automated AI-generated email responses.
Eliminated manual lead entry by automatically creating and updating sales contacts in HubSpot CRM.
Automated 100% of initial customer communication for Sales Inquiries, Customer Support requests, and Meeting Requests.
Improved lead management efficiency by ensuring every qualified sales inquiry is instantly captured in the CRM.
Established a centralized email activity log that provides complete visibility into all processed customer interactions.
Reduced the risk of missed customer inquiries through automated routing, tracking, and internal notifications.
Standardized customer communication with consistent, AI-generated professional email responses.
Improved internal collaboration by automatically notifying the appropriate team whenever a meeting request is received.
Created a scalable automation framework capable of supporting additional business workflows and AI-powered email categories with minimal configuration.
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