For employers

Hire this AI Trainer

Sign in or create an account to invite AI Trainers to your job.

Invite to Job
I
Iryna Trushkovska

Iryna Trushkovska

Data Analyst

Portugal flagRemote, Portugal
$10.00/hrIntermediateInternal Proprietary ToolingGoogle Cloud Vertex AISuperannotate

Key Skills

Software

Internal/Proprietary Tooling
Google Cloud Vertex AIGoogle Cloud Vertex AI
SuperAnnotateSuperAnnotate

Top Subject Matter

Finance & Accounting
Business & Data Analytics
E-commerce, product categorization

Top Data Types

DocumentDocument
AudioAudio

Top Task Types

SegmentationSegmentation
ClassificationClassification
Entity (NER) ClassificationEntity (NER) Classification
Text SummarizationText Summarization
Question AnsweringQuestion Answering
TranscriptionTranscription
Data CollectionData Collection

Freelancer Overview

Data Analyst. Brings 20+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Master of Science, Odesa I. I. Mechnikov National University.

IntermediateEnglishUkrainianRussianPortugueseSpanish

Labeling Experience

Financial Document Classification & Entity Extraction for European Invoices

TextEntity Ner Classification
Performed multi-label classification and named entity annotation on a dataset of 2,000+ European financial documents (invoices, payment orders, receipts) in Polish and Portuguese. Tasks included labeling vendor names, tax IDs (NIP/NIF), VAT amounts, line-item descriptions, payment dates, and cash flow categories. Developed annotation guidelines to handle region-specific formatting (European decimal/thousands separators, local date formats). Maintained inter-annotator agreement above 95% through iterative calibration rounds. The labeled dataset was used to fine-tune an LLM-based extraction pipeline for automated bookkeeping.

Performed multi-label classification and named entity annotation on a dataset of 2,000+ European financial documents (invoices, payment orders, receipts) in Polish and Portuguese. Tasks included labeling vendor names, tax IDs (NIP/NIF), VAT amounts, line-item descriptions, payment dates, and cash flow categories. Developed annotation guidelines to handle region-specific formatting (European decimal/thousands separators, local date formats). Maintained inter-annotator agreement above 95% through iterative calibration rounds. The labeled dataset was used to fine-tune an LLM-based extraction pipeline for automated bookkeeping.

2024 - 2026

Education

O

Odesa I. I. Mechnikov National University

Master of Science, Theoretical Physics

Master of Science
Not specified

Work History

T

Tedsby.com

Data Analyst

Remote
2024 - Present
T

Tedsby.com

Project Manager

Remote
2017 - 2024