0 viewsjobseeker
Uliana D. — Mid-Level Data Analyst from United States

Uliana D.

Mid-Level Data Analyst

United States 3-6 years
Open to offersNew to Platform
Languages
EnglishRussian
Video Introduction
No video introduction yet
The candidate has not added a video.
Contact information and social networks are private. Connect to unlock.
Hidden

About

Uliana D. is a seasoned Data Analyst with extensive experience in statistical analysis, data modeling, and extracting actionable insights. She leverages tools such as Python, SQL, and BI platforms to solve real-world problems and enhance business processes. Currently working at Upwork, Uliana analyzes complex datasets using Python, SQL, and Tableau to evaluate product performance and deliver reports that inform pricing and incentives. Her role involves designing A/B tests and building models that drive product improvement, all while collaborating with cross-functional teams using AWS-based pipelines. Previously, at Ozon in Almaty, she significantly reduced manual data handling by automating ETL processes and building AWS pipelines to boost performance. Uliana's foundational skills were honed at Netcracker Technology as a QA Data Engineer, where she developed automated test scripts, improving workload efficiency and test coverage. Her educational background includes a Master's degree in Information and Communication Technologies from Far Eastern Federal University, complemented by certifications in deep learning and AI modeling.

Experience

  • Data Analyst

    Upwork · 2025 — Present
    Utilized Python, SQL, and Tableau to analyze complex datasets for product performance evaluation, producing 15–20 reports monthly to inform pricing and incentive strategies. Developed A/B tests and constructed statistical, machine learning, and optimization models, interpreting results to provide actionable insights. Worked with cross-functional teams, employing AWS data pipelines to create scalable analytics solutions from exploration to production.
  • Data Analyst

    Ozon · 2024 — 2024
    Created and managed ETL pipelines using Python and SQL, which significantly reduced manual data handling and enhanced processing times. Applied Python, Tableau, SQL, and R to evaluate complex datasets, generating insights that facilitated data-driven decision-making across various teams. Built AWS pipelines with Lambda and Redshift to accelerate data processing speeds and enhance overall performance.
  • QA Data Engineer

    Netcracker Technology · 2022 — 2024
    Developed and maintained automated test scripts in JavaScript, leading to a reduction in manual QA workload and improved test coverage. Analyzed test results and logs to pinpoint issues, providing data insights that supported effective troubleshooting. Collaborated with QA and development teams to prioritize defects, refine test planning, and prepare structured datasets for automation and validation.

Skills & Expertise

Education

  • Master Degree in Information and Communication Technologies
    Far Eastern Federal University · — — 2022
  • Bachelor Degree in Information and Communication Technologies
    Far Eastern Federal University · — — 2020