Сергій

Дата-аналітик, 52 000 грн

Вид зайнятості:: повна
Вік:: 38 років
Місто:: Київ

Контактна інформація

Шукач вказав телефон та ел. пошту.

Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/18386619/

Досвід роботи

Пауза в карʼєрі

з 02.2025 по 05.2026 (1 рік 4 місяці)
Робота над власним проєктом

Continuous professional development via DataCamp, focusing on SQL, Python for Data Science (Pandas, NumPy), and BI tools (Tableau, Power BI). Completed multiple industry-recognized tracks to enhance data-driven decision-making skills.
https://www.datacamp.com/portfolio/martynovychserhii

Data analyst

з 05.2024 по 02.2025 (10 місяців)
SQUAD, Київ (IT)

Data Visualization: Developed and deployed 15+ interactive Tableau dashboards, providing stakeholders with
actionable insights through automated reporting on Tableau Server.
SQL Development: Maintained and updated complex SQL queries in Amazon Athena and Redshift environments
to align with evolving business requirements.
Process Automation: Leveraged Google Sheets and cloud tools to build automated reporting workflows,
achieving a 40% reduction in manual processing time.
Data Acquisition: Automated the extraction of dashboard metadata using Python (Requests) and Tableau Public
API, converting JSON responses into structured datasets for internal auditing.

DATA QUALITY OPERATOR

з 02.2020 по 05.2025 (5 років 4 місяці)
SQUAD, Київ (IT)

Data Validation & QA: Performed rigorous validation of annotated datasets to ensure high accuracy, consistency,
and alignment with project specifications.
Data Integrity & Standardization: Verified large-scale dataset quality by identifying anomalies and refining
classification rules, ensuring high-fidelity training sets for ML models and improving processing efficiency.

DATA OPERATOR

з 06.2018 по 02.2020 (1 рік 9 місяців)
SQUAD, Київ (IT)

Data Labeling & Classification: Identified and categorized objects and events in video datasets to provide high-
quality structured data for machine learning models.
Data Quality Control: Performed systematic verification of labeled content according to strict classification rules
to ensure data accuracy and consistency.