Загруженный файл CV

ABOUT ME

Motivated, detail-oriented aspiring data analyst with a strong foundation in SQL, Python, and BI tools. Skilled in data visualization and eager to apply analytical skills in a collaborative environment.

SKILLS

• MySQL
• Python (Pandas, NumPy, Matplotlib)
• Excel
• Power BI
• Statistics
• Jupyter Notebook

HOBBIES & INTERESTS

• Sports: Actively engage in physical activities to maintain fitness and discipline (volleyball, snowboarding, gym).
• Reading: Enjoy exploring books on personal development and rarely novels.
• Healthy Lifestyle: Committed to continuous self-improvement through balanced nutrition, exercise, and mindfulness.

LANGUAGES

1. Russian - Native language
2. English - Upper intermediate
3. Romanian - Upper intermediate

CERTIFICATIONS

• Cambridge B2
• SQL (Hackerrank base-mid level certification)
• Credly (3 certifications from Certiport)

EDUCATION

2013 - 2025 Alexander Pushkin Theoretical Lyceum Chisinau, Moldova
High School Diploma, mediu - 9.15

EXPERIENCE

• Tech Competitions: FTC/FLL (2018-2025), Tekwill Web Development (2023-2024)
  • Team Lead | Analyst | Programmer
  • Created presentations, reports, and visual materials to showcase team progress and strategic plans.
  • Presented projects to diverse audiences in English, Russian, and Romanian.
  • Analyzed team performance and refined strategies based on error patterns and outcomes.
  • Developed software solutions for robotics and web platforms.
  • Pursued independent learning through free online resources and active collaboration with domain experts to deepen understanding and improve practical skills.

SELF-INITIATED PROJECTS

• Global Layoffs Analysis Project (2025)

  • Preprocessed and cleaned global layoffs data using MySQL, ensuring consistency and reliability.
  • Conducted exploratory data analysis (EDA) to identify trends across industries and regions.
  • Developed interactive dashboards with Power BI to visualize key insights.

• Customer Call List Data Cleaning (2025)

  • Fixed common data issues such as duplicates, missing values, and inconsistent formatting in a customer call list dataset.
  • Utilized Python, Pandas, and Jupyter Notebook to preprocess and standardize the data, ensuring readiness for analysis.