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Data analyst

Вік: 24 роки
Місто проживання: Київ
Готовий працювати: Дистанційно, Київ
Вік:
24 роки
Місто проживання:
Київ
Готовий працювати:
Дистанційно, Київ

Контактна інформація

Шукач вказав телефон та ел. пошту.

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Volodymyr Karpenko
Data Analyst
[відкрити контакти](див. вище в блоці «контактна інформація») [відкрити контакти](див. вище в блоці «контактна інформація»)
Kyiv, Ukraine @desertshadows
github.com/volod-karpenko linktr.ee/desertshadows (navigation to projects)

PROFESSIONAL SUMMARY
I’m a data enthusiast who believes data is the heartbeat of every successful business - a true source of strength and
intelligence. With over 4 years of experience as an SQL Developer and around a year in Business Intelligence (BI)
Development, I specialize in transforming raw data into actionable insights.

I excel at developing efficient data models and selecting optimal schemas to drive performance and clarity. My
background in statistics and hypothesis testing enables me to identify whether changes in key metrics are both
statistically and practically significant.

Passionate about turning numbers into narratives, I create metrics and visualizations that tell the real story behind
the data. Data Science, Machine Learning, and ETL are not challenges to me - they’re opportunities to deepen data-
driven decision-making and harness the full potential of data.

PROFESSIONAL EXPERIENCE
SQL Developer, BI Developer
Oct, 2021 - Aug, 2025
Go-teco • Remote, Kyiv
Developed far more than 3 thousand of queries for different purposes: ad-hoc analysis; CRUD operations;
merged, pivot and hierarchy tables; summaries and key metrics. Most of those queries were deployed as a part of
the configuration for web-applications, and were called from frontend to fetch the required data.

As SQL Developer I have played a key role in designing the data model specifying entity relations, constraints, etc.
My contribution always helped to translate business logic into the physical one.

I have developed triggers to leverage event-driven architecture within the database.

I have created a bunch of ETL processes within SQL Server environment using stored procedures and built-in jobs
(SQL Server Agent).

The “SQL” work I have done contributed to development of the crucial backend part of the CRM systems for “1551
Law Help”, “Border Guard Cabinet”, “State Agency of Automobile Roads of Ukraine”, “Unified Registry of Roads of
Ukraine”, etc.

Over the last year I have also developed a few reports in Power BI for “State Agency of Automobile Roads of
Ukraine”.

And much more including basic frontend, ORM, backend on NestJS, etc.

TECHNICAL SKILLS
Database & SQL
SQL Server PostgreSQL BigQuery View Pivot Table Window Function Stored Procedure Trigger C2 SQL Speaker

Business Intelligence Tools
Power BI Power Query DAX Tableau

Statistics
Hypothesis Testing Statistical Inference A/B Tests t-Tests Chi-Square Tests Confidence Intervals

Python
numpy pandas scipy scikit-learn matplotlib seaborn requests json sqlalchemy openpyxl PIL

Basic Machine Learning
Regression Classification Ensemble Models Dimensionality Reduction Unsupervised Learning Clustering

Additional
Excel Google Sheets Git Jupyter JavaScript Figma PowerPoint HTML/CSS GCP Postman

CERTIFICATIONS
Microsoft Power BI Data Analyst
Data Analysis and Statistical Inference
Google Data Analytics

EDUCATION
Taras Shevchenko National University of Kyiv
Sep, 2019 - Jan, 2022
Faculty of Computer Science and Cybernetics • Computer Science
Calculus Linear Algebra Discrete Math Math Statistics Operations Research Algorithm Theories

PROFESSIONAL LITERATURE I HAVE FINISHED THIS YEAR
Automate the Boring Stuff with Python Python for Data Analysis Fundamentals of Data Engineering

Practical Statistics for Data Scientists Essential Math for Data Science

PROFESSIONAL LITERATURE I AM CURRENTLY STUDYING
OpenIntro Statistics Hands-On Machine Learning Introduction to Probability (Blitzstein, Hwang) Math for Deep Learning

Storytelling With Data

LANGUAGES
Ukrainian: native

English: B2-C1

PROFESSIONAL PLANS
Back in the past I have started my data journey having a lot of passion but no plan. Right now I have even more
passion, and the plan. I consider my next milestone to be not a label of “Middle/Senior Data Analyst” but the
contribution to precisely developed data analysis processes which add real value to the company’s business and
guide data-driven decisions. Along with that, I thrive to build up my skills in advanced statistical modeling, machine
learning, visualization techniques, i.e., all tools and skills that are helpful today for a Data Analyst.

Frankly speaking, I agree that I am just another one young padawan Sequel Skychart, but I am doing my best to
harness the hyperplane portal and resurrect as his honor Majesty Yoda, Master of the Data Force.

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