Вікторія

VIKTORIIA STOLIAR Data Analyst
CONTACTS
Phone: [open contact info](look above in the "contact info" section), Email: [open contact info](look above in the "contact info" section)
Telegram: @StoliarViktoriia, LinkedIn: [open contact info](look above in the "contact info" section)
Location: Pomezia, Italy
SUMMARY
Entry-level Data Analyst with strong analytical thinking and hands-on experience in data analysis and visualization. Currently
studying Data Analytics at GoIT and developing skills in Python, SQL, and BI tools. Experienced in working with datasets,
performing exploratory data analysis, building dashboards, and communicating insights through data visualization. Motivated
to start a professional career in data analytics.
HARD SKILLS
Data Analysis, Data Cleaning & Validation, Exploratory Data Analysis (EDA), Data Visualization, Statistical Analysis, SQL
Queries, Python for Data Analysis, A/B Testing, Business & Product Metrics (Conversion Rate, ARPU, LTV, Retention, Churn),
Data Storytelling
TOOLS
Python, Pandas, NumPy, SQL, BigQuery, Tableau, Power BI, Looker Studio, Google Sheets, Microsoft Excel, Matplotlib, Seaborn,
Jupyter Notebook, Amplitude, Slack
SOFT SKILLS
Analytical thinking, Attention to detail, Problem solving, Communication, Time management, Adaptability
PROJECT EXPERIENCE
Sales Data Analysis Dashboard
(https://public.tableau.com/app/profile/viktoriia.stoliar/viz/Homework4_17555183638620/Dashboard1)
Tools: Python, Pandas, SQL, Tableau
Description:
Developed an interactive dashboard to analyze sales trends and customer purchasing behavior.
Tasks:
• Cleaned and prepared sales dataset for analysis
• Conducted exploratory data analysis (EDA)
• Built visualizations and dashboards in Tableau
Results:
Identified key sales trends and most profitable products, helping highlight potential opportunities for revenue growth.
Developer Salary Analysis (https://github.com/stoliarviktoriia5-sudo/python-analytics-homework.git)
Tools: Python, Pandas, SQL, Tableau
Description:
Analyzed developer salary datasets to understand salary distribution across countries and technologies.
Tasks:
• Cleaned and processed large datasets
• Performed statistical analysis
• Built visualizations to compare salaries by technology and location
Results:
Identified key factors influencing developer salaries and presented insights using dashboards.
LANGUAGES
English — Pre-Intermediate, Italian — Intermediate, Ukrainian — Native, Russian — Native, Spanish — Beginner
WORK EXPERIENCE
Cashier — Punto Sigma, Pomezia
May 2025 – Oct 2025
Responsibilities: processing customer payments, assisting customers, managing the cash register, organizing stock and product
placement.
Achievements: maintained high customer satisfaction and efficient checkout operations.
Sales Assistant — Yamamay, Rome
Nov 2021 – Sep 2023
Responsibilities: assisting customers, restocking merchandise, organizing displays, handling returns and payments.
Achievements: contributed to excellent customer service and organized store environment.

EDUCATION
IT School GoIT
2025 – Present
Data Analytics Program
Istituto Paritario San Benedetto
2015 – 2017
Diploma in Tourism