Контактная информация

Соискатель указал телефон , эл. почту и LinkedIn.

Получить контакты этого кандидата можно на странице https://www.work.ua/resumes/5428234/

Опыт работы

Data scientist

с 01.2024 по 11.2025 (1 год 11 месяцев)
Orion Data Analytics, Дистанційно (IT)

Develop and deploy machine learning models to solve complex business problems for clients in technology and marketing sectors. Lead end-to-end data science projects from problem definition through model deployment and monitoring.

Key Responsibilities & Achievements:
- Built customer churn prediction model using Random Forest and XGBoost algorithms, achieving 92% accuracy and reducing client retention costs by $180K annually
- Designed and deployed 5+ interactive Tableau dashboards for C-suite executives, improving decision-making speed by 40% and eliminating manual reporting workflows
- Conducted large-scale NLP sentiment analysis across 2M+ social media posts using VADER and custom transformers, providing actionable insights that shaped marketing campaigns for 3 major clients
- Automated data pipeline processes using Python (pandas, NumPy, SQLAlchemy), reducing data processing time from 8 hours to 45 minutes
- Collaborated with cross-functional teams including product managers, engineers, and business stakeholders to translate business requirements into technical solutions
- Presented findings and recommendations to non-technical stakeholders through clear visualizations and business-focused narrativesDevelop and deploy machine learning models to solve complex business problems for clients in technology and marketing sectors. Lead end-to-end data science projects from problem definition through model deployment and monitoring. Key Responsibilities & Achievements: - Built customer churn prediction model using Random Forest and XGBoost algorithms, achieving 92% accuracy and reducing client retention costs by $180K annually - Designed and deployed 5+ interactive Tableau dashboards for C-suite executives, improving decision-making speed by 40% and eliminating manual reporting workflows - Conducted large-scale NLP sentiment analysis across 2M+ social media posts using VADER and custom transformers, providing actionable insights that shaped marketing campaigns for 3 major clients - Automated data pipeline processes using Python (pandas, NumPy, SQLAlchemy), reducing data processing time from 8 hours to 45 minutes - Collaborated with cross-functional teams including product managers, engineers, and business stakeholders to translate business requirements into technical solutions - Presented findings and recommendations to non-technical stakeholders through clear visualizations and business-focused narratives

Junior Data Analyst

с 05.2023 по 12.2023 (8 месяцев)
Novametrics, Дистанційно (IT)

Junior Data AnalystJunior Data Analyst
Novametrics · Full-timeNovametrics · Full-time Jun 2023 - Dec 2023 · 7 mosJun 2023 to Dec 2023 · 7 mos Remote · RemoteRemote · Remote
- Supported data-driven decision-making for digital marketing campaigns through statistical analysis, A/B testing, and performance tracking for e-commerce and SaaS clients.
Key Responsibilities & Achievements:
- Optimized ad campaign performance through A/B testing and multivariate regression analysis in Python, identifying key audience segments and reducing customer acquisition cost by 24%
- Developed automated KPI tracking dashboards using SQL queries and Excel VBA, providing real-time visibility into campaign performance across 15+ active clients
- Conducted cohort analysis and funnel optimization studies that reduced ad spend inefficiencies by 18% while maintaining conversion rates
- Created data quality monitoring systems to ensure accuracy of marketing attribution data across multiple platforms (Google Ads, Facebook, LinkedIn)
- Collaborated with marketing team to design experiment frameworks and interpret statistical significance of campaign tests
- Prepared weekly and monthly analytical reports for stakeholders, translating complex statistical findings into actionable business recommendations

Research Intern

с 05.2023 по 08.2023 (4 месяца)
EchoTech Center, Дистанційно (IT)

- Led team-based research project analyzing EU-wide migration patterns from diverse source countries.
- Developed predictive models forecasting ethnic group migration flows across all EU member states.
- Collected and preprocessed large-scale demographic datasets covering 13+ years of migration data.
- Applied statistical analysis and visualization techniques using Python and R.
- Co-authored analytical article on migration to Poland, presenting findings to research stakeholders.

Образование

UMCS

Економічний, Бізнес Аналітика, Люблін
Неоконченное высшее, с 2022 по 2027 (5 лет)

КППФК імені Антона Макаренко

Маркетинг, маркетолог, Київ
Неоконченное высшее, с 2019 по 2022 (3 года)

Молодший бакалавр у Маркетингу

Гімназія 48

Київ
Среднее, с 2010 по 2022 (12 лет)

Знания и навыки

• MS Access
• MS Word
• MS Excel
• Викладання англійської мови
• Adobe Illustrator
• Adobe Photoshop
• MATLAB
• SQL
• Python
• R-Studio
• Адаптивність

Знание языков

• Польский — средний
• Английский — свободно