Олександра

Alexandra Zukovskaya
Technical Support, System Administrator, Junior Data Analyst

SKILLS
LANGUAGES
● Basic Networking (HTTP, DNS, ports) English, Russian,
● Linux administration (Bash, SSH, file system, processes) Ukrainian, Czech
● Docker
● Logs analysis and troubleshooting
● Python (Pandas, Matplotlib, Seaborn, Plotly)
● SQL
Power BI
●
EDUCATION
● Kubernetes
● Databricks Bachelor of Computing
● Excel Prague City University, based on
● HTML/CSS the British University Teesside
● Git University

EXPERIENCE START 09-2022
FINISH 08-2025
▣ Technical Support Specialist (remote)
Small startup business (Ukraine) | 2024 – 2025
Relevant Coursework:
During my work, I provided remote technical support to users, assisting with
Programming Fundamentals,
software issues, system performance, and connectivity problems. Helped
clients install and configure applications, including basic development tools Algorithms, Data Structures,
and local environments. Databases

● Diagnosed and resolved technical issues
Online Courses:
● Assisted with installation and setup of software and tools
The Complete Python Pro
● Monitored logs and identified errors for troubleshooting
● Communicated with users to understand and resolve issues Bootcamp
● Documented common problems and solutions

CONTACT
PROJECTS
Location
▣ A/B Testing Prague, Czechia

● Conducted A/B test of new onboarding on 50k users GitHub
● Day 7 retention as primary metric https://github.com/ssashimii
● Calculated statistical significance using Z-test
Email
● Python (pandas, numpy, matplotlib)
[открыть контакты](см. выше в блоке «контактная информация»)
▣ Product Events Analytics LinkedIn
[открыть контакты](см. выше в блоке «контактная информация»)
Built product analytics on raw mobile event logs:
dra-zukovska-82194b384

● DAU/retention calculation
● Creating sessions
● Funnel & usability analysis
● Delivered actionable recommendations with visualizations
● Python (pandas, matplotlib)

▣ HR Attrition – Predictive Modeling

Prediction models of workers attrition based on different aspects,
identification of key factors

● Logistic Regression
● Decision Tree
● Python (scikit-learn, seaborn, pandas, numpy, matplotlib)