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Анна

Аналітик

Age:
21 years
City of residence:
Poltava
Ready to work:
Kyiv

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Anna Bozhenko
trainee data analyst,
trainee data engineer

CONTACT TECHNICAL SKILLS

[open contact info](look above in the "contact info" section) Leveraging Hugging Face LLMs for semantic search tasks;
Working with APIs and web scraping for data collection;
[open contact info](look above in the "contact info" section) Writing SQL queries (PostgreSQL, MS SQL Server, BigQuery);

@annabozhenko Data cleaning, processing, and analysis;
Basic skills in building ETL processes using GCP and SSIS;
[open contact info](look above in the "contact info" section)
Basic skills in creating dashboards in Power BI and writing DAX
anna-bozhenko
queries;
https://github.com/
AnnaBozhenko COURSES
https://huggingface.co/
anna-bozhenko One-week Product Analyst Intro intensive by SKELAR
March 2025
https://www.kaggle.com/annab
ozhenko
Data Analytics and Data Quality Engineering Basics program by
EPAM
EDUCATION December 2024 – March 2025

National Technical advanced SQL Querying;

University of Ukraine “Igor ETL processes using SQL Server Integration Services (SSIS);
Sikorsky Kyiv Polytechnic fundamentals of Data Quality Engineering;
Institute”
November – December 2024
2020 - 2025 B. A.
gained basic experience with Google Cloud Platform through
“Applied Mathematics”
hands-on labs in the ML Engineer learning path;
intensive Generative AI course by Google, based on Kaggle
community tasks. The goal was to use the vertexai to interact with
TECHNICAL STACK
language models (such as Gemini);

torch, tensorflow, datasets,
Power BI course by Platma Academy
transformers, pandas, scikit-
Spring 2024
learn, matplotLib, numpy,
Connecting to data sources (web resources, databases);
vertexai, Flask, SQLAlchemy
Writing DAX queries;
Jupiter Notebook, Google Colab Creating analytical dashboards;
PostgreSQL, SQL Server
BigQuery, Vertex AI (beginner)
git, GitHub WORK EXPERIENCE
Power BI (basics)
Apprenticeship, data analyst
Zernovoz.ua
December 2023
LANGUAGES
created an analytical report on expenditures of Contractor
English (B1) using pandas, Jupyter Notebook;

Українська (Native speaker) tested the search engine of the company's website to find out
impacts on query results;

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