Катерина

KATERYNA SKRYNNIKOVA
AI AUTOMATION SPECIALIST

CONTACTS SUMMARY
AI Automation Specialist experienced in building efficient workflow solutions for
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productivity using automation tools (Make, Zapier, n8n), APIs, and integrations.

Telegram I have hands-on experience creating end-to-end systems — from data collection to
automated CRM updates, lead processing, and client communication. I work with
Linkedin
Google Sheets, Airtable, OpenAI, and messaging platforms (Telegram, Instagram).

Focused on reliability, scalability, and long-term collaboration.
Dnipro, Ukraine

PROJECT EXPERIENCE
TECH SKILLS Make (Integromat): Zoom Meeting Management and Follow-up Automation
(Make, Airtable, OpenAI)
Make (Integromat) Objective: Streamline Zoom meetings by capturing, analyzing, and following up
on discussions efficiently.
Zapier
Scope of Work: Extract audio, transcribe conversations, create structured notes,
n8n draft and send follow-up emails, and record data in the CRM for tracking and
Airtable analysis. Expected
OpenAI Outcome: Improved documentation, faster stakeholder follow-up, and
centralized CRM data for future reference.
Role: AI Automation Specialist.

Make (Integromat): Automation system for an online psychology marathon
(Make, Airtable, OpenAI, ManyChat)
In this project, I build an automation system for an online psychology marathon.
SOFT SKILLS Main features:
Teamwork Collect user data through forms
User authorization via Telegram
Time management
CRM / EdTech platform including:
Self discipline Student database
Information seeking Homework database
Tasks database

Homework management system:
EDUCATION Task access via keyword
AI-Expert AI-based homework checking
Analysis of submission time and student statistics
Marketing Automation School (MASC)
Team notifications about homework submissions
2025-2026
AI assistant for students:
Bachelor of Engineering - BE
FAQ support
Answers to additional questions or tasks.
Oles Honchar Dnipro National
Role: AI Automation Specialist.
University
2002-2007 Make (Integromat): AI Automation System for Content Repurposing
(Make, Airtable, OpenAI)
Input: a long-form video. The system automatically processes the video and
generates different types of content.
LANGUAGES
Workflow:
English - Pre-Intermediate 1. Video Transcription Audio is extracted and converted into text using AI
transcription.
Ukranian - Native
2. Content Summary AI analyzes the transcript and generates a short
Russian - Fluent
summary with key points.
3. Reels Cover Generation AI creates engaging cover images for Reels based
on the video topic.
4. Content Publishing Content is automatically published to Telegram.
Role: AI Automation Specialist.
AI Content Generator (n8n)
(n8n, API integration, OpenAI)
Built an automation system in n8n that turns Telegram messages into social
media content. Users send ideas via Telegram, which are automatically saved to
Google Sheets or Airtable. The system uses AI (ChatGPT) to generate captions
and hashtags, then stores ready-to-use posts. Optionally, content can be sent for
approval or auto-published.
Role: AI Automation Specialist.

Make (Integromat): Automation system for an online psychology marathon
(n8n, OpenAI, API integration)
Built a Telegram-based finance bot using n8n that collects user financial data,
processes it, and stores it in a database Google Sheets. The system includes an
analysis module that reviews saved data and provides insights on spending and
financial habits.
Result: better expense tracking, clear insights, and smarter financial decisions
with minimal manual effort.
Role: AI Automation Specialist.

WORK EXPERIENCE

Metal Exert since 2007

Specialist of statistics department
collecting and analyzing data
forecasting and modeling
market research

Created models for analyzing raw materials markets from scratch. This made the
work of analyzing the raw material market more visual, made it possible to carry out
any additional calculations, as well as process the input data, spending less time.

Participated in the development of a model for the analysis of the rental market.

Made improvements and optimizations in working files, which minimized the
amount of time spent working with them. Also organized work with these files:
grouped, deleted the excess and set up logical links between the files.