Денис

Serheniuk SUMMARY

Denys Results-driven Junior Data & Product Analyst
with hands-on experience in sales data
Data Analyst analysis, dashboard development, and product
metrics. Skilled in transforming raw data into
[open contact info](look above in the "contact info" section) actionable insights using SQL, Python, and BI
tools. Passionate about using data to improve
[open contact info](look above in the "contact info" section) product decisions and drive business growth.
Ukraine, Ivano-Frankivsk
Telegram PROJECTS
GitHub
LinkedIn Sales Performance Analysis
• Cleaned and processed a retail sales dataset
(removed duplicates, handled missing values,
EDUCATION normalized formats).
• Calculated key business metrics: revenue,
gross profit, and margin by product category
Bachelor`s Computer
and time period.
Engineering
• Identified top-performing products and
Vasyl Stefanyk Precarpathian
seasonal sales patterns through exploratory
National University
data analysis.
Ivano-Frankivsk, Ukraine • Visualized findings with bar charts and trend
lines; prepared a summary with actionable
recommendations.
LANGUAGES
Retail Sales Dashboard
Ukraine - Native • Built an interactive Tableau dashboard to
track sales KPIs: revenue, units sold, margin,
English - Upper-Intermidiate
and customer segments.
• Structured and cleaned source data in
Google Sheets using VLOOKUP, IF, and pivot
SKILLS tables.
• Designed dynamic filters by region,
• Python (NumPy, Pandas, category, and date range to enable self-serve
Matplotlib) analysis for stakeholders.
• Dashboard answered key business
• Tableau/PowerBI
questions on profitability drivers and
• SQL (PostgreSQL, BigQuery) underperforming segments.

• Excel / Google Sheets

• A/B testing — hypothesis
formulation and result analysis

• Amplitude, Mixpanel

• Metrics: DAU/MAU,
Retention, Churn, LTV,
Conversion Rate

• Git & GitHub, Google Colab /
Jupyter, Jira / Trello