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Prospect Data Mining and Qualification Project
Consolidated 18 prospect records from four fictional sources, then filtered and qualified leads based on country, industry, interest, and contact status, identifying 5 targeted prospects for outreach.
The network for creativity
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Title:
AI-Powered B2B Lead Research & Lead Management System
The Challenge:
Manual lead research can take considerable time, especially when businesses need to identify, organize, qualify, and continuously manage large numbers of potential prospects.
The Solution:
I designed an AI-assisted workflow for researching B2B prospects, organizing company information, summarizing lead insights, and maintaining a structured lead database. The workflow combines AI-assisted research with tools such as Google Sheets and automation platforms to reduce repetitive work and make prospect management more efficient.
The Results:
Faster prospect research
Structured B2B lead database
AI-assisted company and lead summaries
Improved lead qualification
Organized follow-up information
More efficient sales-research workflow
Skills: AI Automation • Lead Generation • Google Sheets • B2B Research • Data Analysis • Workflow Automation • Market Research
SupportPilot — AI Customer Support & Lead Capture
A customer support web application designed to help businesses answer common customer questions and capture potential leads. SupportPilot combines an interactive chatbot interface with a quote request form and lead tracking dashboard, creating a simple workflow for turning customer conversations into business opportunities.
Web Scraping Services
1. B2B lead generation data
2. Data extraction from any website
3. E-commerce product scraping
4. Google Maps Scraping business data
5. Competitor analysis data
6. Market research data
7. Real estate property data scraping
8. Email extraction & Email scraping
9. Yellow Pages, Yelp, industry-specific Business directory scraping
