Особисті дані приховані

Morozov Vladyslav
Python Developer

Contacts
City: Kyiv, Ukraine
Email: [відкрити контакти](див. вище в блоці «контактна інформація»)
Phone: [відкрити контакти](див. вище в блоці «контактна інформація»)
LinkedIn: [відкрити контакти](див. вище в блоці «контактна інформація»)
GitHub: https://github.com/vladmorozov2

Summary
Python developer with a strong technical background in Mathematics (Top 4 student at Taras Shevchenko National
University). I have 9 months of professional experience in data analytics, using Python, SQL, and machine learning to
drive business insights. In parallel, I built hands-on backend development experience during a SoftServe internship by
independently creating real-time chat and auction microservices using Python, Django, Go, Gin, and Docker. Now fully
focused on backend development, I am looking to gain my first commercial experience as a Python developer — eager
to contribute to building scalable systems, collaborate with experienced teams, grow through code reviews, work with
cutting-edge technologies, and help businesses solve real-world challenges.

Technical Skills
• Programming Languages: Python, Go
• Web Frameworks: Django, FastAPI, Gin
• Containerization: Docker
• Databases:
- SQL, PostgreSQL, MongoDB
- SQLAlchemy, Redis
• Operating Systems: Linux
• Networking
• Cloud & Big Data: Firebase, BigQuery
• Data Analytics:
- Data Processing: Pandas, NumPy
- Machine Learning: Scikit-learn
- Data Visualization: Power BI, Tableau
- A/B Testing & Statistical Analysis
• Architecture: Microservice Architecture, Monolith
• Programming Paradigms: Object-Oriented Programming (OOP)
• Concurrency: Multiprocessing, Asynchronous Programming, Concurrency
• Design Principles: SOLID, DRY, Clean Code
• Best Practices: Coding best practices and performance optimization

Work Experience
Python Developer Intern (Unpaid, Part-Time)
SoftServe
January 2025 – April 2025
Project Description:
Developed a platform to facilitate collaboration between startups and investors, enabling seamless discovery and direct
connections.
Tech Stack:
Python, Go, Django, Gin, MongoDB, PostgreSQL, Docker, Redis, WebSockets, Kong API Gateway
Responsibilities:
• Independently designed and implemented chat and notification functionality from scratch using Django: created
chat rooms, enabled real-time messaging between participants via a message broker, provided room history retrieval,
implemented asynchronous message and notification delivery, and developed a notification sending mechanism.
• Built database models and persistence logic for messages, chat rooms, and notifications; wrote comprehensive unit
and integration tests to ensure system reliability and maintainability.
• Developed a lightweight API Gateway responsible for authorizing HTTP and WebSocket requests.
• Set up and configured Docker containers using Dockerfiles and Docker Compose for local development and deploy-
ment.

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 • Independently designed and developed an auction microservice from scratch using Golang: implemented features
for auction creation, bidding, winner selection, and detailed bid history tracking, with full database persistence.
Data Analyst
INGO (Insurance)
October 2024 – Present
Project Description:
INGO is one of the largest and most well-established insurance companies in Ukraine, offering a wide range of insurance
products, including life, health, property, and automobile insurance.
Tech Stack:
Python, SQL, Power BI, Machine Learning, scikit-learn,BigQuery, Firebase, Google Analytics, Oracle Database
Responsibilities:
• Designed and developed mobile app analytics from scratch: created technical specifications for the development
team, defined tracking parameters in collaboration with key stakeholders, validated data accuracy, and built com-
prehensive dashboards. Led the implementation of weekly and monthly app performance reports.
• Managed and delivered monthly performance reports to senior executives: highlighted key metrics, explained metric
fluctuations, provided forecasts for KPI achievement, and offered actionable recommendations to drive business
strategy.
• Developed a predictive model to forecast user churn and the likelihood of return for the Call Centre team, enabling
targeted client outreach and improved customer retention strategies.
• Collaborated cross-functionally with various teams to conduct ad-hoc analyses, providing data-driven insights to
support decision-making across the organization.
• Built and maintained interactive Power BI dashboards for real-time data analysis, providing key decision-makers
with actionable insights. Dashboards were widely used by multiple departments to guide operational and strategic
decisions.
Data Analyst Intern
Quarks (Genesis)
July 2024 – September 2024
Project Description:
Quarks specializes in developing high-load products within the Social Discovery and online dating sectors. Their flagship
product is a leading online dating platform with millions of downloads and operations across multiple countries.
Tech Stack:
Python, SQL, Vertica, Tableau, Machine Learning, Prophet, A/B Testing
Responsibilities:
• Analyzed A/B test results to optimize product performance and assess the impact of changes on key performance
indicators (KPIs).
• Developed and presented comprehensive analytical reports, providing insights into metric fluctuations and diagnos-
ing potential issues.
• Built and maintained interactive Tableau dashboards for real-time data analysis, facilitating data-driven decision-
making across teams.
• Conducted in-depth analysis of the predicted Lifetime Value (LTV) and Customer Acquisition Cost (CAC) ratios
across key customer segments, monitoring their stability and trends over time.
• Utilized the Prophet forecasting model to predict revenue, ensuring that marketing expenses were accurately factored
into revenue projections.

Education
Taras Shevchenko National University
September 2021 – July 2025
Mathematics
Was a top 4 student by academic ranking at university.
With a GPA averaging over 90, I have developed a strong mathematical foundation for solving complex problems with
data.

Courses
Project Based Learning
SoftServe
January 2025 - April 2025
Learned about: Django, Networking, Microservices Architecture, MongoDB, Django Channels, Asynchronous Program-
ming, Multiprocessing, Multithreading
Practical Python
SoftServe

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December 2024 – January 2025
Learned about: Django, Selenium, Unittest, Design Patterns, Django Rest Framework, and Networking.
Analytics in Product IT
Genesis
March 2024 – June 2024
Learned about: Pandas, SQL, A/B Testing, Tableau
Introduction to Data Science
Robot Dreams
May 2023
Learned exploratory data analysis (EDA), machine learning techniques, and data visualization.
Python Fundamentals
SoftServe
October 2022
Learned about: Python, Databases, Flask.
Machine Learning Specialist
Coursera
February 2023
Learned supervised and unsupervised machine learning algorithms.

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