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Dmytro Taruta

Offer Dmytro work on your next project.

Poland Warszawa, Poland
2 months 21 days back
Available for hire available for hire
age 34 years
on the service 3 months 21 days
  • openai-api
  • Make.com
  • N8N
  • Chatbot
  • telegram bot
  • n8n.io

Rating

Successful projects
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Average rating
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Rating
308
Enterprise Resource Planning (ERP)
143 place out of 874
AI & Machine Learning
194 place out of 2841

Language proficiency level

Українська Українська: fluent
Русский Русский: fluent
English English: intermediate
Polski Polski: pre-intermediate

Skills and abilities


Promotion

Outsourcing & consulting

Portfolio


  • 1266 USD

    Automated Lead Research, Signal Tracking & Change Detection

    AI & Machine Learning
    Built a fully automated lead research and signal-tracking system that continuously enriches CRM records, detects meaningful changes, and delivers instant alerts plus weekly summaries. The workflow replaces manual lead research with AI-driven monitoring, comparison logic, and automated reporting.

    Project Overview

    This project involved building an end-to-end automated lead intelligence pipeline that performs weekly lead research, signal tracking, and change detection without any manual work.

    The system continuously monitors leads stored in Airtable, enriches them with fresh external data, compares new signals against historical records, and proactively notifies stakeholders when important updates occur.

    The result is a hands-off lead monitoring system that keeps sales and growth teams informed in real time.

    The Solution

    I designed a multi-source lead research and signal-tracking automation using n8n as the orchestration layer.

    The system combines AI-powered research, web scraping, data comparison, and automated reporting into a single pipeline.

    Data Sources & Research Tools Integrated
    AI & Research Engines
    Perplexity – contextual research and summaries
    Tavily – targeted web intelligence retrieval

    Web Scraping & Crawling

    Firecrawl – structured website content extraction
    LinkedIn scraping – profile and activity signal collection
    CRM & Storage

    Airtable
    Historical lead records
    Change-tracking fields

    Before / After Comparison
    BEFORE: Manual Lead Research

    Manual Google searches
    Manual LinkedIn checks
    Inconsistent research quality
    Missed news and signals
    Outdated CRM data
    Time-heavy weekly reviews

    Reactive and unreliable.

    AFTER: Automated Lead Intelligence Pipeline

    Continuous data enrichment
    AI-driven research aggregation
    Automatic change detection
    Instant alerts on hot signals
    Always-up-to-date CRM
    Clean weekly summaries

    Proactive, scalable, and reliable.
  • 1376 USD

    AI Content Automation System for Daily LinkedIn & X (Twitter)

    Enterprise Resource Planning (ERP)
    Built a fully automated AI content engine that creates, designs, and prepares daily LinkedIn and X (Twitter) posts without manual writing, design, or scheduling. The system generates platform-specific copy, matching visuals, stores assets in Airtable, and routes content to Slack for approval or auto-posting.
  • 963 USD

    WhatsApp AI Agent with Smart Escalation, RAG Knowledge Retrieval

    Bot Development
    Built an end-to-end WhatsApp AI assistant that handles inbound customer conversations, retrieves accurate answers from a vector knowledge base, and escalates to human agents when required. The system combines n8n orchestration, WATI WhatsApp API, OpenAI models, RAG logic, and smart escalation rules to deliver fast, reliable, and brand-safe support at scale.

Activity

  Latest proposals 6
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