Личные данные скрыты Ветеран

Alina Education

Hlushko
Bachelor of logistic support of the troops 2014 - 2018

Odesa Military Academy

Data Analyst Data Analytics March-June 2025

Mate academy
Contacts
Experience
[открыть контакты](см. выше в блоке «контактная информация») Data Analyst 2024-2025
Projects
[открыть контакты](см. выше в блоке «контактная информация») Conducted end-to-end analysis of e-commerce sales data using
Python and SQL
Kyiv, Ukraine Created interactive dashboards in Looker Studio (ABC analysis,
revenue trends, product segmentation)
Telegram Processed datasets using pandas, visualized results with
matplotlib and seaborn
LinkedIn Applied cohort analysis and profit/cost analysis by product
category
About Me Presented insights with clear business recommendations

Head of Logistics and Food Supply Service
Armed Forces of Ukraine, Kyiv 2018 - 2023
Former logistics officer with a strong
background in operations and strategic Managed end-to-end food logistics for a military unit of 3500
planning, now channeling that experience personnel, ensuring timely and efficient supply under high-
pressure conditions.
into data analytics. I bring precision,
Conducted demand forecasting and inventory control, optimizing
resilience, and an eye for patterns—from resource usage and minimizing waste.
military supply chains to sales dashboards. Developed and maintained supply chain reports, improving
Passionate about turning data into clear operational decision-making through data-driven insights.
Coordinated with multiple departments and suppliers, ensuring
insights and decisions. Always
Telegram learning,
compliance with standards and delivery schedules.
always improving, [открыть контакты](см. выше в блоке «контактная информация»)
and ready to make impact Led logistical support for a unit of more 20 personnel, ensuring
in tech. uninterrupted supply chain operations during active duty

Skills
Portfolio
Spreadsheets: Pivot Tables, Data Cleaning,
Project 1 (SQL) - “E-commerce Communication & Account
Visualization Trends”
Tools: BigQuery, SQL, Looker
SQL: Advanced Queries, Window Functions, Analyzed user behavior and segmented customers by
activity and traffic source.
Query Optimization, Common Table Queried and cleaned multi-table datasets to extract
insights on conversions and engagement.
Expressions (CTE)
Project 2 (Google Sheets) - “Results of sales dynamics
Python: Pandas, NumPy, Matplotlib,
analysis by category, product, and country”
Tools: Google Sheets, Pivot Tables
Seaborn, Exploratory Data Analysis (EDA)
Visualized sales trends by category, product, and country.
Tableau: Interactive Dashboards, Data Built a dynamic dashboard and applied ABC analysis to
highlight high-impact products.
Storytelling, Publishing
Project 3 (Python) - “Order Flow Insights: EDA Across
Statistics: Sampling, Hypothesis Testing, Regions and Products”
Tools: Python, Numpy, Pandas, Seaborn, Matplotlib, Google
Correlation, Statistical Significance Colab
Created a comprehensive Google Colab report with
A/B Testing: Planning, Analysis, Reporting structured code, visualizations, and business-focused
commentary.
Other Tools: Jupyter Notebooks, Google Analyzed KPIs such as conversion rates, product
performance, and delivery delays across markets.
Analytics, Excel, Git
Generated actionable insights on customer behavior,
logistics efficiency, and product profitability to inform
Languages: English (Intermediate)
strategic decisions.