Yevhen

YEVHEN MISHYN│BI ANALYST
SUMMARY
I am actively looking for a Data Analyst / BI Analyst position with immediate start to
apply my knowledge and skills gained in 2024-2025. I have systemized and deepened
my knowledge of statistics, probability, data analysis, business intelligence, learned
how to find insights behind key business metrics, got skills to use BI tools - SQL,
Python, Power BI, Tableau, Excel by completing Data Analytics Educational Course at
DAN.IT Education

PROJECTS
TECHNICAL SKILLS
2024 │ SQL Project “Employees Database | Data Extraction”
● Excel Role: Data Analyst
● SQL Technical tool used: SQL
● Python (NumPy, Pandas, Matplotlib, Seaborn, Used complex SQL queries for data extraction and transformation. Created new
Scikit-Learn, Machine Learning) database for training courses
● Power BI
● Tableau
2025 │ Python Project “IKEA Furniture | Price Prediction”
Role: Data Analyst
ANALYTICAL SKILLS Technical tool used: Python
Performed exploratory data analysis (EDA), including data cleaning, descriptive
statistics and visualizations. Formulated, analyzed and tested hypotheses. Developed
● Probability and statistics knowledge
a model to predict the price of furniture. Created a cross-validation pipeline to train
● Key product, project and marketing metrics
and evaluate the model performance, including missing values imputation and
● Ability to find insights behind the numbers
normalization. Suggested methods to improve the model’s performance
● Ability to find cause-and-effect relationships
and to get the essence of issue
2024 │ Power BI Project “Toys Retail Stores | Analysis & Report”
Role: BI Analyst
ADDITIONAL EDUCATION BI tool used: Power BI
Cleaned up and transformed data. Created a data model, built relationships. Used
DAX to create measures, columns, tables. Calculated key business metrics. Created a
2024 │ Probability and Statistics
multi-page report including visualizations, page navigators, buttons, tooltips,
Educational course drillthrough, sync slicers, bookmarks. Added RLS. Published the model to the cloud.
● Quantitative approach to BI analytics Created a dashboard based on this report. Suggested recommendations for KPIs
● Probability concept and its application improving
● Nonparametric statistics
● Regression models 2024 │ Tableau Project “Toys Retail Stores | Analysis & Report”
● Prediction methods
Role: BI Analyst
● Simulation modeling
BI tool used: Tableau
Cleaned up and transformed data, built relationships. Calculated key business metrics.
2024 │ Finding Insights Behind Built various vizualizations using calculation fields, parameters, table calculations,
Business Metrics LOD calculations. Built dashboards applying navigation, action filters, parameters,
highlights. Created properly structured workbook. Suggested recommendations for
Educational course
KPIs improving
● General categories of metrics to evaluate
business performance
● Main types of insights in business analytics ACHIEVEMENTS
● Insights by descriptive, diagnostic, predictive,
prescriptive analytics During 2024-2025 completed projects using SQL, Python, Power BI, Tableau
● How to transform “raw” data into specific transforming raw data into meaningful insights through calculating key business
recommendations metrics and building interactive dashboards and reports, summarizing with KPIs
improving suggestions

LANGUAGES
EXPERIENCE
● Ukrainian (Native)
● English (Intermediate B1) 2024 – 2025 Data Analytics Student │ DAN.IT Education
2015 – 2023 Project Manager │ Interior Design Studio
2013 – 2013 Project Manager │ Retail Association of Ukraine
CONTACTS
2005 – 2013 Project Manager │ Premier Expo
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@YevgenMishyn EDUCATION
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[відкрити контакти](див. вище в блоці «контактна інформація») National Technical University of Ukraine "Kyiv Polytechnic Institute"
Kyiv, Ukraine 1998 - 2004 │ Bachelor degree │ Manager-Economist