Ziad Tarik

Manual lead qualification took 15+ hours/week for sales reps, delaying follow-ups.

Automated n8n scraper feeding an AI qualification agent that routes hot leads directly to Monday.com.

Saved 15 hours/week, boosted lead response speed by 40%, and eliminated data entry errors.

Buying static database lists resulted in 25%+ email bounce rates and outdated contacts.

A custom local scraper that extracts business data in real-time, verifies active domains, and cleans inputs.

Extracted 100,000+ local leads, slashed database acquisition costs to $0, and kept data fresh.

Compiling personalized background intelligence reports on target accounts was slow and tedious.

A multi-agent researcher that crawls target domains, fetches hiring data, and writes custom outbound intros.

Reduced account research time from 30 minutes to 90 seconds, powering highly customized cold outreach.

Off-the-shelf scraping tools lacked flexibility and failed under strict bot protections.

Built and published custom high-performance actors with automated proxy rotating and smart retries.

Managed 50,000+ actor runs, deployed 10+ custom scrapers, and earned Apify Store certification.

Tracking competitor pricing across 50+ localized marketplaces was a slow, manual data entry nightmare.

Deployed a Playwright cluster to scrape dynamic pricing daily, feeding a centralized Supabase dashboard.

Automated competitive intelligence, increasing margin efficiency by 18% with zero manual data entry.

Aggregating thousands of listings from disparate non-API sources resulted in high latency and stale data.

Built a high-concurrency Apify scraper fleet with automatic schema extraction and proxy rotation.

Aggregated 2M+ listings with 99.9% uptime, reducing data refresh latency from days to 15 minutes.

Managing inbound travel inquiries across email and WhatsApp caused dropped leads and double bookings.

Integrated an n8n webhook pipeline funnelling cross-channel inquiries into a unified Monday.com CRM.

Centralized the booking flow, increasing lead conversion by 35% and completely eliminating missed inquiries.

Dispatchers relied on handwritten logs and disjointed WhatsApp threads to coordinate 30+ daily transfers.

Engineered a custom Next.js booking portal linked to an automated Google Sheets CRM for real-time dispatching.

Streamlined operations, saving 20 hours/week in manual coordination and improving driver response times.

Fixed pricing models left money on the table during peak seasons while losing to competitors during slow months.

Built a dynamic pricing scraper that analyzes competitor rates and auto-adjusts fare estimates in the widget.

Optimized fare yields by 12% on average while maintaining a 100% win rate on lowest-price guarantees.

High volumes of "tire-kicker" inquiries during peak season overwhelmed staff and delayed real responses.

Deployed an intelligent WhatsApp chatbot via n8n to pre-qualify group size and dates before routing to staff.

Filtered out 40% of unqualified noise, allowing staff to close high-value group bookings 3x faster.