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VIKTORIA TOTKALOVA
Data Analyst
Junior data analyst with hands-on experience in collecting, cleaning
and exploring data to find meaningful patterns. I love turning messy
datasets into clear, compelling insights. While I’m early in my career, I
bring a solid foundation in statistics, a growth mindset and a passion
for solving real-world problems with data.

Project Experience
Contacts Unit Economics & Product Metrics in SaaS
In this project, I focused on analyzing key SaaS performance indicators,
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including MRR, ARPPU, LTV and churn rate. Using SQL and segmentation
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techniques, I performed cohort analysis to uncover trends across customer
[открыть контакты](см. выше в блоке «контактная информация») segments, pricing models and subscription plans. I developed visual reports
ria-totkalova and dashboards to clearly present insights. The overall goal was to optimize
Herne, Germany business performance and support sustainable growth in a SaaS
environment.
Hard Skills
SaaS Onboarding Funnel Analysis
SQL In this project, I analyzed the user onboarding journey within a SaaS product.
Python My focus was on understanding and optimizing each stage — from sign-up
Advertasing companies and account setup to feature adoption and user retention. Using SQL for
analysis deep-dive queries and data visualization tools for clear reporting, I tracked
user behavior, identified drop-off points and measured key conversion
A/B Tests
metrics. The goal was to improve the user experience, boost activation and
Tools engagement rates.

BIG Query
Work Experience
Google Analytics 4
Intetics Inc.
Excel & Google Sheets Geodata Technician
Looker Studio Jan 2023 - Mar 2024

Tableau Designed 300+ geospatial models of cadastral areas surrounding urban
sites in QGIS, covering 50+ urban sites and ensuring precise land

Soft Skills boundary and environmental data representation.
Managed 50+ geospatial layers, including feature classes and attributes
Diligent for cadastral mapping.

Accurate Intetics Inc.
Conscientious Junior Geodata Technician
Nov 2021 – Mar 2022
Quick learning skills
Analyzed over 200 km of roadmap data, identifying and extracting 500+
key features to support urban planning projects.
Language
Ensured 98% data accuracy across all models.

English (Intermediate)
Ukrainian (Native) Education
Russian (Native) IT School "GoIT" Kharkiv National Medical University
Data Analysis Master's Degree