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Дмитро

Дата-аналітик

Considering positions:
Дата-аналітик, Data engineer, Data scientist 
Age:
24 years
City:
Remote

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DMYTRO IVANIUK
Data Analyst

CONTACT PROFILE

[open contact info](look above in the "contact info" section) Data Analyst in FMCG demand planning. Own 12-
month rolling SKU-level forecasting models for
[open contact info](look above in the "contact info" section)
domestic and export channels used by commercial
Rivne, Ukraine
teams for budgeting and planning; automate analytical
Telegram
workflows in Python and SQL. Mentor junior analysts in
LinkedIn
data analytics at Mate academy.

EDUCATION
WORK EXPERIENCE
National University of Water
and Environmental Engineering Nemiroff | Demand Planning Analyst
2020–2024 July 2025 - Present
B.A. in Information Systems and Own 12-month rolling, SKU-level demand forecasting
Technologies models for two channels: domestic and export, combining
multiple data sources and methods, with each modelling stage
Mate academy
validated by hypothesis testing
Mar - June 2025
Forecasts serve as the planning baseline for ~20 managers
Data Analyst course
across commercial and export teams, driving annual budgets
and mid-cycle demand reviews

SKILLS Developed a Python calculation for the export model that did
not exist in the company before, replacing slow manual
SQL: MS SQL, PostgreSQL, estimation with an automated, repeatable process
BigQuery Automated recalculation of the financial plan for both
Python: Pandas, NumPy, models on every demand plan change, removing manual

Matplotlib, Data Processing rework across linked models
Track forecast accuracy against actuals and analyse
Automation
systematic deviations to improve model performance
BI: Power BI (DAX, Power Query,
Support commercial, export and planning teams with ad-hoc
Data Modeling), Tableau
SQL and Python solutions for fast-turnaround business
Analytics: Forecasting, KPI
questions
Analysis, Cohort Analysis, A/B
Testing Mate academy | Data Analytics Mentor (part-time)
Statistics: Hypothesis Testing, December 2025 - Present
Confidence Intervals,
Mentor students in SQL, Python and statistics;
Descriptive Statistics
review technical assignments with feedback on
Spreadsheets: Excel, Google
business logic and code quality
Sheets, Pivot Tables, Advanced
Run Q&A and practical sessions on real analytical tasks
Formulas
and debugging approaches
Languages: English (B1),
Prepare junior analysts for technical interviews and test
Ukrainian (Native)
assignments

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