Особисті дані приховані

ANDRII PIKALOV DATA ANALYST

CONTACT PROFILE

[відкрити контакти](див. вище в блоці «контактна інформація»)
Data Analyst with 2+ years of experience working on production web and mobile products,
[відкрити контакти](див. вище в блоці «контактна інформація») with hands-on involvement in analytics, reporting, data validation and product decision-
making.
[відкрити контакти](див. вище в блоці «контактна інформація»)
Skilled in Python, SQL, Excel and Power BI, with experience in dashboard development,
Varna, Bulgaria | Remote product metrics, A/B testing fundamentals and applied statistics.
A software engineering experience enables close collaboration with product and
LinkedIn GitHub Telegram
engineering teams and reliable validation of requirements, APIs and data flows.
SKILLS WORK EXPERIENCE

Reporting & BI Veido JAN 2025 - PRESENT

Excel (Pivot Tables, formulas), Google Product Analyst | Logistics SaaS
Sheets, Power BI (dashboards, data
modeling, DAX), Looker Studio (Data Analyzed shipment and invoice data using Excel and Google Sheets, including Pivot Tables
Studio), KPI reporting and formulas; tracked operational KPIs and product metrics.
Python & data processing
Worked with the full data analysis pipeline: extracted data from PostgreSQL and API sources
Python (Pandas, NumPy), exploratory data using SQL, cleaned and transformed it with Python (Pandas, NumPy), validated data quality
analysis (EDA), data visualization and performed EDA to identify patterns and anomalies.
(Matplotlib, Seaborn, Plotly)

SQL & databases Built interactive Power BI dashboards using data modeling and DAX to visualize shipment
performance, invoice data, trends and key metrics.
SQL (PostgreSQL, SQLite), data extraction,
data validation, API data flows

Product analytics
Vamos (Startup) NOV 2024 - PRESENT

Product metrics, event tracking, conversion Data Analyst | Social discovery app
funnels, session replay, user behavior
analysis Worked with PostgreSQL and backend-to-database data flows, validating data structures,
relationships and API integrations to ensure reliable data collection and storage.

A/B testing & statistics Used SQL for data extraction, validation and querying; worked with database tables and
product data structures prepared for future analytics and reporting.
Experiment design, hypothesis formulation,
metric selection, descriptive statistics,
distributions, correlations, basic hypothesis Prepared Python workflows to automate data extraction, cleaning and transformation, enabling
testing recurring reporting and KPI analysis after product launch.

Business & technical Structured the reporting approach for key product metrics, preparing data flows for future
dashboards, usage analysis and performance monitoring.
Requirements clarification, workflow
analysis, business rules, customer feedback,
TypeScript, React, React Native, Node.js,
Git/GitHub, PostHog
Ten Thousand MAY 2024 - NOV 2024

Technical Analyst | Mobile product
LANGUAGES
Used Excel and SQL to analyze product data, validate API data, identify inconsistencies and
recurring patterns, and translate findings into practical product improvements.
English - B2

Ukrainian - Native Lango (Startup) Google Play DEC 2025 - JUL 2026

Tracked product events, analyzed conversion funnels and session replays across onboarding and
EDUCATION learning flows; cleaned, transformed and validated data using SQL and Python, performed EDA
and basic statistical analysis, and built interactive Power BI dashboards.
Igor Sikorsky Kyiv Polytechnic
Developed offline-first lessons, XP gamification and cross-device progress synchronization for a
Institute multilingual Android product.
B.Sc. in Electronic Communications and
Radio Engineering, with Honors
2021 - 2025 Photos to PDF (Startup) Google Play MAR 2026 - AUG 2026

Tracked acquisition, retention and search-term performance in Google Play Console to prioritize
ASO, onboarding and rating-prompt improvements.
Mate Academy
Data Analyst Course
Independently designed, built and published the app, managing local data handling, release
2024 - 2025 workflow and ongoing product iterations.