Вікторія

Victoria Khimiak
EXPERIENCE
Product & Growth Research Project - !FEST Jan 2026 - Apr 2026

Led product research focused on redesigning the e-commerce user experience to
reduce cognitive load and improve conversion
Analyzed evolution of e-commerce and benchmarked modern interaction patterns
across leading platforms
CONTACT Ran surveys, interviews, and customer journey mapping, including expert insights
from professionals working at Rozetka, Silpo, and Varus
[open contact info](look above in the "contact info" section) Identified key friction points: search fatigue, choice overload, and decision paralysis
Used regression analysis (Python) to evaluate factors influencing purchase intent
[open contact info](look above in the "contact info" section)
and user decisions
GitHub Translated behavioral insights into product hypotheses for new “human-
ecommerce” interaction models
LinkedIn Focused on segmentation & user scenarios, aligning solutions with real-life
customer needs
SKILLS User Retention & Product Analytics Case Study - DogTrain App Jun 2026
Analytics & Data Analyzed 80% Day 1–2 churn by comparing behavioral event triggers between
SQL (queries, joins, aggregations, window retained and churned cohorts.
functions) Formulated and prioritized 5 retention hypotheses using the RICE framework
Python (Pandas, NumPy, Matplotlib, automation Designed a 2-week MVP experiment plan for validating the top hypothesis for a
scripts) team.
Jupyter Notebook Defined primary/secondary and guardrail metrics; wrote full acceptance criteria
Excel / Google Sheets and team task breakdown for sprint delivery
GitHub, R, Java, HTML/CSS Produced UX/UI mockup concepts and mapped complete user journey and
Data Analysis & Statistics system logic flow
Exploratory Data Analysis (EDA)
Data Analysis Project - From Startup to Unicorn Jan 2026 - Apr 2026
Regression analysis
Hypothesis testing and statistical validation Built data analysis pipeline using Python (Pandas, NumPy) to identify factors
Predictive modeling basics influencing startup success
Data cleaning and transformation Applied OLS regression, hypothesis testing, and statistical validation to identify
Model interpretation and business application significant factors impacting valuation and growth
Visualization & Reporting Improved model interpretability through feature selection and validation
Tableau techniques
Power BI Translated findings into actionable recommendations for funding strategy, market
Matplotlib/R expansion, and scaling priorities
Structured reporting Created visual reports to communicate insights clearly
Executive-style presentations
Statistical Research Project - Global Happiness Analysis Nov 2025 - Dec 2025
Product Analytics
Analyzed global macroeconomic datasets using Python (Pandas) and R to identify
Funnel & conversion analysis
drivers of happiness and well-being
Cohort & retention analysis
User behavior analysis Built linear regression models to measure relationship between life expectancy and
Customer journey mapping happiness scores
Conducted hypothesis testing and statistical comparisons in R
User & Market Research
Performed full EDA (distribution analysis, skewness, kurtosis, visualization) using
User Interviews Matplotlib / R
Survey Design & Analysis Presented insights through clear storytelling, structured reporting, and executive-
Competitor Analysis style summaries
Market research
Segmentation & user scenarios International Cross-Cultural Economic Project Mar 2025 - May 2025

CERTIFICATIONS Collaborated in international teams (Ukraine–Indonesia) to evaluate business
environments and market opportunities
Analytics Intensive 05.2026 Conducted comparative market research and business analysis using Excel
Developed data-backed strategic recommendations for real companies
Completed a product analytics program
Strengthened stakeholder communication, teamwork, and cross-cultural
focusing on modern IT workflows, marketing
collaboration skills
strategies, and AI integration.

Investment Research 10.2025-11.2025 EDUCATION
Conducted investment research and business
analysis in a competitive case challenge, Bachelor of IT & Business Analytics - Ukrainian Catholic 09.2024-06.2028
evaluating market opportunities, financial University
potential, and strategic growth
recommendations. Relevant courses: Econometrics, Business Analysis in IT, Economic Analysis, Linear
Algebra, Databases (SQL), Programming (Python, Java, R), Probability & Statistics,
LANGUAGES Algorithms

IT STEP Academy 09.2021-05.2022
Ukrainian - Native
English - Upper-Intermediate (B2) Relevant courses: Programming (Python, HTML, CSS), 3D Modelling, Robotics, Design