Контактная информация

Соискатель указал телефон и эл. почту.

Получить контакты этого кандидата можно на странице https://www.work.ua/resumes/9688402/

Опыт работы

React developer, Data analyst

с 03.2023 по наст. время (2 года 11 месяцев)
Jet-Bet, Дистанційно (IT)

Key Responsibilities:
Frontend Development:

Developed a high-performance, fully responsive frontend application using React, TypeScript (strict-mode), fp-ts, and Mantine.

Integrated multiple third-party game providers through their unique APIs into a cohesive ecosystem, embedding game modules via iframe.

Implemented complex user interactions including group chat functionality, user profiles, live betting views, tipping, likes, and achievements.

Applied Feature-Sliced Design (FSD) architecture to enhance scalability, readability, and maintainability of the codebase.

Created comprehensive internationalization logic (i18next) supporting five languages.

Engineered sophisticated animations and UI components such as carousels and an interactive "Wheel of Fortune".

Optimized front-end performance through advanced lazy loading techniques for images (low-res WebP with blur placeholders transitioning smoothly to high-resolution images), significantly reducing render cycles via lazy loading and Suspense.

Conducted SEO optimization through structured HTML semantics, meta tags, alt attributes, and closely monitoring metrics such as CLS and FCP etc..

Analytics & Business Intelligence:

Developed a custom admin panel for integrated analytics on a separate domain, combining transactional data (PostgreSQL) and user behavior analytics (Matomo).

Built detailed dashboards and visualizations (LTV, Churn, GGR, NGR, CPA, CAC) using Power BI and custom dashboards based on Mantine, providing actionable insights for stakeholders.

Enabled support chat management, user moderation, and data integrity verification directly through the admin interface.

Implemented comprehensive user behavior tracking using Matomo, Google Analytics, and Prometheus; conducted funnel analysis and structured A/B tests to inform product decisions.

Machine Learning & Data Science:

Designed and deployed recommendation systems using LightGBM, scikit-learn, Spark, and FastAPI, providing personalized game recommendations based on user preferences.

Performed predictive analytics including customer churn, Lifetime Value (LTV), and Cost Per Acquisition (CPA).

Key Achievements:
Successfully created and delivered a feature-rich, high-load online casino frontend from scratch, seamlessly integrating complex interactive components and multiple game providers.

Led end-to-end implementation of robust analytics infrastructure, significantly enhancing business decision-making capabilities through real-time data insights.

Deployed effective machine learning models to drive user engagement and retention, directly contributing to business growth.

Administrator

с 05.2021 по 02.2022 (10 месяцев)
NewLine, Дистанційно (Фінанси, банки, страхування)

Supervision of operators' work;
Had direct contact with clients to perform large operations;
Monitored the smooth operation of the product;

Team leader

с 01.2020 по 05.2021 (1 год 5 месяцев)
XbiTrade, Запоріжжя (Телекомунікації, зв'язок)

Formed a team: searched for specialists for the team and conducted technical interviews;
Prepared weekly expense and income reports and documented the quality of work of each specialist in the team;
Negotiated with clients;
Estimated the budget;
Determined the scope of work and deadlines;
Participated in the professional development of team members;
Conducted working meetings and meetups;

Образование

Запорізька політехніка

ФРЕТ, Кібербезпека, Запоріжжя
Высшее, с 2015 по 2021 (6 лет)

Здобув вищу освіту за напрямом: "Безпека інформаційних і комунікаційних систем". Маю червоний диплом. Під час навчання перебував у студентських організаціях, брав участь в олімпіадах із програмування та захисту інформації

Дополнительное образование и сертификаты

mlcourse.ai – Open Machine Learning Course

2022-2023, 4 місяці

Stepik: Основи статистики; Введення в Data Science та Machine Learning; Big Data і Data Science;

2022, 9 місяців
Сертификат

Знания и навыки

• Python
• Pandas
• NumPy
• Scikit-learn
• Spark
• CatBoost
• Docker
• MySQL
• MongoDB
• JavaScript
• React
• HTML
• CSS
• SASS
• Git
• Matplotlib
• ETL
• Postman
• Darts
• PostgreSQL
• MS Power BI
• React Redux
• MobX
• REST API
• GraphQL
• TypeScript
• Swagger
• Miro
• Fp-ts
• Mantine
• I18next
• Jest
• Vite.js
• Axios
• Zod
• FSD
• GitHub Actions
• Chakra UI

Знание языков

• Украинский — свободно
• Английский — выше среднего