Natalia Barakova

EN RU ES AI

I work with data, Python, analytics and enterprise systems.

Right now I'm especially interested in brand analytics, data visualization and AI tools.

What I'm looking for

I'm looking for remote work or projects where I can work with data, grow in analytics and use Python.

I'm based in Mexico and work in UTC−5.

What I do Projects About GitHub Hugging Face

What I do

Data & Brand Analytics. I analyze data, look for patterns, compare metrics and turn numbers into something clear and useful.

Python & small tools. I use Python for data processing, automation and small practical tools that remove repetitive work.

Finance & business data. I have eight years of hands-on accounting experience: financial data, Excel, reporting, business processes and 1C in an international environment.

QA, 1C & integrations. I test enterprise systems and integrations, validate data quality and investigate how data moves between systems.

AI-assisted work. I use AI for research, analysis, prototyping, coding and working with large amounts of context.

Projects

Excel Header Formatter

A small Python tool I built for myself and my team to automate repetitive formatting of Excel headers and field lists.

It converts prepared text into several formats, making it easier to work with structured field lists. The tool was used by my colleagues in their day-to-day work.

Open project →

Python · Gradio

Integration Data Quality Analyzer

Python tool for automated analysis of outgoing integration data against technical specifications.

It processes JSON messages, matches them with specification rules, detects inconsistencies and generates structured reports for technical teams.

Python · JSON · openpyxl · HTML · Data Quality
Internal company project — source code and production data are confidential.

Product Name Validation Service

REST API for automated product name validation and data quality checks in enterprise integrations.

Python · FastAPI · Pydantic · REST API · Data Validation
Internal company project — source code and production data are confidential.

Brand Analytics

I use Brand Analytics in my day-to-day work to set up monitoring, collect and review messages, categorize data, and prepare it for analysis and visualization.

Project data and results are confidential.

About

I didn't start my career in tech.

Before moving into IT, I spent eight years working in accounting and finance in an international environment — with 1C, Excel, financial data, reporting and real business processes.

Accounting taught me to care about data accuracy and to look at processes as a whole. Later, my work in digital and CRM marketing brought me closer to automation, CRM systems, analytics and integrations.

From there, I gradually moved into QA, 1C integrations, Python and automation. My focus shifted from working with business data to understanding how data is structured, how it moves between systems, where errors appear and what we can learn from it.

Accounting & Finance → CRM Marketing → QA & Python Automation → 1C Integration with Business Systems → Brand Analytics · Data & Analytics

That's probably why I'm still especially interested in what actually happens to data in real processes, not only in how it is supposed to look in documentation.

Over time, I became interested not only in finding errors, but also in understanding why they happen, spotting patterns and figuring out what the data can tell us.

I've seen data from quite a few different sides — and I still remember why the numbers sometimes don't reconcile at the end of the month. :)