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DATA ANALYST

YANA MYSHKIVSKA
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SUMMARY Ambitious Computer Science student focused on Data Science, Machine Learning,
and AI engineering. Practical experience building ML models, analyzing real-world
datasets, developing AI-powered applications, and automating workflows with
Python and modern ML tools. Strong analytical thinking, fast learning ability, and
hands-on project experience that exceeds typical student level.

SKILLS Python & SQL Data Analysis & Data Visualization
Statistical Analysis & Hypothesis Analytical Thinking & Problem Solving
Testing
Excel & Google Sheets

EXPERIENCE Data Analyst | VIGO Industries
Last year
Analyzed product and customer data across multiple e-commerce marketplaces
(Wayfair, Lowe’s, Home Depot, etc.) to support business and pricing decisions
Developed SQL queries and automated Excel reports to track performance
metrics, reviews, and inventory data
Performed data validation and QA across platforms, improving data accuracy
and consistency of SKUs, attributes, and product listings
Identified trends in ratings, reviews, and sales performance to provide actionable
insights to product and marketing teams
Collaborated with cross-functional and partner teams to implement data
updates, optimize listings, and improve overall data workflows

EDUCATION Jan 2022 - Jan 2026
Bachelor of Computer Science
Vasyl' Stus Donetsk National University Vinnytsia, Ukraine
Focused on data analytics, statistics, and machine learning.
Coursework includes Data Analysis, Probability and Statistics, Database
Management, Machine Learning, Algorithms and Data Structures, and Python
Programming.
Developed analytical thinking and technical skills through academic projects
involving data cleaning, visualization, and model building using Python, R, and SQL.
LANGUAGES English

CERTIFICATIONS CS250: Python for Data Science – Course Completion Certificate – Certificate ID:
AND LICENSES 8402096383YM
Certificate Final Exam | Issued by Saylor Academy | 2025

PET PROJECTS Python Project – Customer Analytics Dashboard
https://github.com/myshkivska/pet_analytics
Interactive Streamlit dashboard built in Python for customer segmentation and
behavioral analysis. Includes data cleaning, clustering, LTV prediction, and SHAP
explainability.

Tableau Project – Netflix Content Analysis Dashboard
https://public.tableau.com/views/Netflix_17527567517630/Netflix
Data visualization dashboard exploring Netflix content distribution by genre,
country, and release year. Highlights trends in audience preferences and platform
evolution over time.