Дарина

Daryna Borshovska
BUSINESS INTELLIGENCE ANALYST
SUMMARY
Business Intelligence Analyst with hands-on experience taking analytical projects from raw data to a finished
dashboard, both independently and in teams. Specialize in Python, SQL, Tableau, and Power BI, and use AI tools
(Claude, ChatGPT, Ideogram) as part of my workflow. Background in Sociology adds a behavioral lens to reading
customer and business data. Looking for a Business Intelligence / Data Analyst role where data-driven decisions
directly shape the business.

CONTACTS
● Email: [відкрити контакти](див. вище в блоці «контактна інформація»)
● Phone: [відкрити контакти](див. вище в блоці «контактна інформація»)
● Telegram: t.me/daryna_borshovska
● LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)
● Location: Belgium

PORTFOLIO
● GitHub: github.com/darynaborshovska-hub
● Tableau Public: public.tableau.com/app/profile/daryna.borshovska

SKILLS
SQL — JOIN, UNION, CTE, window functions, sub-queries
Python — EDA, cross-validation, GridSearchCV, PCA, K-means clustering, ML pipelines (scikit-learn)
Power BI — Power Query, DAX, star schema data modeling, custom visualization
Tableau — Parameters, dual axis, calculated fields, dashboard actions, LOD; Tableau Prep (group,
joins, aggregation); Tableau Server (RLS, scheduled tasks)
Excel — Formulas, pivot tables, database security
AI Tools — Claude, ChatGPT, Ideogram
PROJECTS
IKEA Furniture Price Analysis · Python · Machine Learning
● github.com/darynaborshovska-hub/ikea-sales-analysis-python
TASK
Built a model that predicts IKEA product price from its attributes, starting from 3,694 raw, scraped, unclean records.
APPROACH
Cleaned scraper errors and duplicates, tested 2 business hypotheses with three independent statistical tests each, compared 10 ML
models inside a Pipeline to prevent train/test data leakage.
INSIGHT
Product width is the strongest price predictor. Final model (Random Forest) reaches R² = 0.81. One hypothesis was disproved and
reported honestly as a negative result.

Global Business & Sales Intelligence Suite · Tableau
● public.tableau.com/app/profile/daryna.borshovska
TASK
Comparative analysis of sales across 8 companies and global sales in one navigable dashboard suite, built by blending two datasets.
APPROACH
Data blending in Tableau Prep; calculated fields, parameters, LOD expressions, and dashboard actions to switch between company /
period / category without leaving the report.
INSIGHT
Identified a regional shipping-cost gap (Colombia 9.1% vs. Canada 3.9%) and a VIP customer segment with 99%+ margin - insights
invisible in a static report.

Bike Sales Performance Dashboard · Power BI
● github.com/darynaborshovska-hub/Bikes_Sales_Power_BI
TASK
Built a full BI report on a bike company's sales, focused on return analysis and regional performance clustering.
APPROACH
Designed a star schema (FactSales + 6 dimension tables), wrote 18 custom DAX measures, organized 5 topic pages for different
audiences.
INSIGHT
Bikes drive ~95% of revenue. A dedicated Returns page revealed a disproportionately high return share for accessories - a
product-quality signal, not just a revenue one.

EDUCATION
Data Analyst — Dan.IT Education
12.2025 – 07.2026
Sociology (2 years) — Ukrainian Catholic University (UCU)
09.2023 – 06.2025

LANGUAGES
English — B2