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Astrid Rapaccioli

Astrid Rapaccioli

SAP FICO Consultant | Growing in AI, Design & Digital Illustration

Argentina flagCABA, Argentina
$18.00/hrEntry LevelOther

Key Skills

Software

Other

Top Subject Matter

No subject matter listed

Top Data Types

ImageImage
TextText
VideoVideo

Top Task Types

Action Recognition
Classification
Data Collection
Emotion Recognition
Object Detection

Freelancer Overview

While I am new to data labeling and AI training, I bring a diverse professional background that combines analytical thinking with visual precision. As an experienced SAP FICO consultant, I’ve developed a strong foundation in process analysis, data management, and problem-solving within complex corporate environments. This experience has sharpened my attention to detail, data accuracy, and ability to follow structured workflows—key skills that directly apply to labeling and organizing data for AI systems. In parallel, my work in digital illustration, textile design, and photography has given me a trained eye for visual elements such as composition, pattern, and color. I have hands-on experience with tools like Adobe Photoshop, Illustrator, Procreate, and Lightroom, which has equipped me to contribute effectively to image annotation, object detection, and visual data classification tasks. I’m highly motivated, quick to learn, and excited to support the development of AI through high-quality training data.

Entry LevelEnglishSpanish

Labeling Experience

Image Annotation / Pattern Recognition

OtherImageSegmentationClassification
As part of my preparation for data labeling work, I conducted a self-initiated project focused on image classification and pattern annotation using digital textile designs. The goal was to simulate labeling tasks for visual AI training, such as identifying repeating motifs, distinguishing between placement and all-over prints, and organizing them by style and complexity. This hands-on practice helped me develop precision, consistency, and familiarity with annotation standards—skills that are critical for high-quality AI training data.

As part of my preparation for data labeling work, I conducted a self-initiated project focused on image classification and pattern annotation using digital textile designs. The goal was to simulate labeling tasks for visual AI training, such as identifying repeating motifs, distinguishing between placement and all-over prints, and organizing them by style and complexity. This hands-on practice helped me develop precision, consistency, and familiarity with annotation standards—skills that are critical for high-quality AI training data.

2024

Independent Practice Based on Real-World SAP FICO Scenarios

OtherComputer Code Programming
This practice project simulated labeling and classifying financial document data similar to what is handled in SAP FICO environments. I manually reviewed and tagged sample business documents such as invoices, journal entries, and purchase orders, identifying key entities like document type, company code, cost center, GL account, and currency.

This practice project simulated labeling and classifying financial document data similar to what is handled in SAP FICO environments. I manually reviewed and tagged sample business documents such as invoices, journal entries, and purchase orders, identifying key entities like document type, company code, cost center, GL account, and currency.

2005

Education

U

University of Buenos Aires

Bachelor of Business Administration, Business Administration

Bachelor of Business Administration
1998 - 2004

Work History

P

Pienka Design Studio

Illustrator and Pattern Designer

CABA
2024 - Present
M

Marlabs Inc.

Freelance SAP FICO Consultant

N/A
2013 - Present