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Illya

Data scientist

Возраст: 20 лет
Город: Бердичев
Возраст:
20 лет
Город:
Бердичев

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Professional Experience

ILLYA KOVALIUK Student Intern
Viseven, Zhytomyr | January 2025 - February 2025
Data Analys/Data Scientist
Collaborated with cross-functional teams at Viseven, a global MarTech leader, to develop
Героїв України and optimize high-performance web solutions, including interactive CLM presentations,
[открыть контакты](см. выше в блоке «контактная информация») landing pages, and email templates for top-tier pharmaceutical clients. I focused on
[открыть контакты](см. выше в блоке «контактная информация») building responsive, pixel-perfect user interfaces using HTML5, CSS3/SASS, and JavaScript,
ensuring full cross-browser compatibility and seamless integration with the eWizard
platform. My role involved implementing complex animations, adhering to GitFlow best
Key Skills practices for version control, and streamlining the delivery of omnichannel marketing
Python(Pandas, NumPy, Matplot, Plotly, content in an Agile-driven environment.
Seaborn, Scikit-learn)
Data analyst
SQL (MS SQL, BigQuery, MongoDB)
Pet-project, Berdychiv | December 2025 - January 2026
Statistics
Analyzed e-commerce user behavior data using Python (Pandas, NumPy) to identify
Finance
Git key revenue losses across the purchase funnel. Applied funnel and Pareto analysis to

MS Excel detect high-impact stages and products affecting overall revenue.

Google analytics Built buyer vs viewer segmentation and visualizations to extract business insights

Machine Learning and actionable recommendations, demonstrating strong Python-based analytical
skills.

Data Scientist
Pet-project, Berdychiv | January 2026 - February 2026

Implemented predictive modeling techniques using Python (Scikit-Learn), specifically
focusing on Ridge, Lasso, and Elastic Net regression to handle overfitting and improve
model accuracy, as covered in Aurélien Géron's 'Hands-On Machine Learning'. Additionally, I
acquired a foundational understanding of financial markets, arbitrage, and the mechanics
of forward and futures contracts by studying the core principles in John Hull’s 'Options,
Futures, and Other Derivatives'. This combined approach allows me to apply statistical
learning methods to financial and logistics data analysis

Education

Bachelor's in Information systems and technologies
Zhytomyr Polytechnic State University, Zhytomyr | September 2022 - Present

Certifications

Google Data Analyst Certification
| April 2024

coursera.org/share/b3bd78f8c9bd3f74...

Google Certified Data Analyst with a solid command of the end-to-end data analysis
process, including data cleaning, transformation, and visualization using SQL, R, and
Tableau. This certification confirms my ability to derive actionable insights from complex
datasets and make data-driven decisions. I leverage this analytical foundation to enhance
my Machine Learning workflows, ensuring high data quality and rigorous statistical
integrity in every predictive model I build.

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