Наталія

NATALIIA KHVOROST
Analyst
+38 965060967

[відкрити контакти](див. вище в блоці «контактна інформація») About me
Analyst with hands-on experience in data analysis, KPI dashboard development, and
Telegram process optimization to drive data-informed business decisions. Proficient in SQL,
Python, Excel/Google Sheets, and Tableau,
LinkedIn Previously worked at a MilTech company where I handled analytical tasks such as
performance monitoring of marketing and sales activities, competitor data analysis,
Remout
cost–benefit evaluation, and internal KPI reporting. My work contributed to optimizing
resource allocation and improving lead conversion strategies for international
defense markets.
Education Upper-Intermediate English.

O.M. Beketov National University of Work Experience
Urban Economy in Kharkiv
2025
Analyst
Master’s degree | Сomputer science | Global Sales Analysis (Sheets Project) – Link to rewiev
Analyzed multi-year global sales data across products, regions, and
2018-2024
channels. Visualized trends, and provided business recommendations
for growth and optimization.
E‐commerce Analysis & Visualization (SQL Project) – Link to review
Analyzed user account creation dynamics, email activity, and behavior across
segments (verification, subscription status, engagement). Compared activity
across countries, identified key markets, and segmented users by attributes.
Global Sales (Python Project) - Link to review
Skills The project focuses on cleaning and analyzing multi-year global sales data
from physical and online stores.The dataset includes transactional data,
Googlesheets: Pivot Tables, Data product information, and regional details. Merged three datasets, handled

Cleaning, Visualization missing values, and removed duplicates, I analyzed KPIs, delivery times, sales
trends by product, region, and channel, visualized patterns and extracted
SQL: Advanced Queries, Window
business insights.
Functions, Query Optimization, Common
Business Analyst | SHARP AI
Table Expressions (CTE) 2023-
Supported negotiations with 10+ potential partners, resulting in the
Python: Pandas, NumPy, Matplotlib, 2025
conclusion of 3 strategic contracts.
Seaborn, Exploratory Data Analysis (EDA) Conducted market research and competitive analysis based on
Tableau: Interactive Dashboards, Data exhibitors’ presentations and industry reports.
Storytelling, Publishing Supported negotiation processes and prepared follow-up
documentation for strategic partnerships.
Statistics: Sampling, Hypothesis Testing,
Analyzed 5 new regional markets, which enabled the company to
Correlation, Statistical Significance
identify the most promising market with +20% year-over-year growth
A/B Testing: Planning, Analysis, Reporting
Iimproved internal analytics and reporting workflows, reducing manual
Other Tools: Jupyter Notebooks, Google data processing time by 30–40%.
Analytics, Excel, Git, Figma, Jira, The data models I developed increased the accuracy of several

Confluence, Meta ADS operational forecasts by more than 20%.

Languages: English (upper-
Intermediate), Polish (Pre-Intermediate)