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MAXYM RYBALKO
Data Analyst
SUMMARY
Motivated data analyst with a strong foundation in SQL, Python,
and data visualization tools such as Tableau, Looker Studio.
Skilled in advertising campaigns analysis, A/B testing, and
statistical data interpretation. Currently transitioning from a
technical role as a locomotive driver, where I developed an Excel-
based tool with advanced formulas to automate work hours
calculation and assist in payroll control. My experience has also
developed strong attention to detail and responsibility.
Passionate about turning data into actionable insights and
continually improving operational processes.
CONTACTS PROJECT EXPERIENCE
[open contact info ](look above in the "contact info" section) Landing Page Conversion Analysis
[open contact info ](look above in the "contact info" section) Analyzed session start and purchase events to calculate
conversion rates for landing pages (2020 data).
Telegram
Merged events using user and session id to ensure accuracy.
Linkedin
Practiced SQL querying, data aggregation, and web analytics
Kyiv,Ukraine data analysis in BigQuery.
HARD SKILLS User Engagement and Retention Analysis
SQL Calculated key metrics (DAU, MAU, stickines) and age-
releated user statistics (median, percentlies, standart
Python
deviation)
A/B tests
Applied advanced formulas (COUNTUNIQE, AVERAGE,
Advertising Campaings PERCENTILE) and data aggregation techniques
Analisis Gained hands-on experience in user behavior analysis and
Theory of probability and Excel automation.
mathematical statistic WORK EXPERIENCE
Product Analysis Electric locomotive driver, Kyiv Locomotive Depot
Data Visualization 2011-now
TOOLS Ensuring the safety of passengers and train movement.
Google Sheets Planning and execution of train schedules.
Tableau Coordination of actions with other services
Introduced a train driving regime map based on traction
Google Analytics
calculation rules, which contributed to reducing electrical
Power BI energy costs for train traction.
DBeaver Trained 3 colleagues on extended service sections, which
Google BigQuery reduced the workload of the dispatch office.
Looker Studio EDUCATION
SOFT SKILLS IT School "GoIT" State economy and Kyiv
Data Analysis technology university electromechanical
Attention to detail
of transport technical school of
Logical thinking 2025
Electric transport railway transport
Honesty 2011 - 2014 Maintenance of
Specialist railway rolling
LANGUAGES stock
English-elementary 2006 - 2011
Ukrainian-native Junior specialist
Data Analyst
SUMMARY
Motivated data analyst with a strong foundation in SQL, Python,
and data visualization tools such as Tableau, Looker Studio.
Skilled in advertising campaigns analysis, A/B testing, and
statistical data interpretation. Currently transitioning from a
technical role as a locomotive driver, where I developed an Excel-
based tool with advanced formulas to automate work hours
calculation and assist in payroll control. My experience has also
developed strong attention to detail and responsibility.
Passionate about turning data into actionable insights and
continually improving operational processes.
CONTACTS PROJECT EXPERIENCE
[
[
conversion rates for landing pages (2020 data).
Telegram
Merged events using user and session id to ensure accuracy.
Practiced SQL querying, data aggregation, and web analytics
Kyiv,Ukraine data analysis in BigQuery.
HARD SKILLS User Engagement and Retention Analysis
SQL Calculated key metrics (DAU, MAU, stickines) and age-
releated user statistics (median, percentlies, standart
Python
deviation)
A/B tests
Applied advanced formulas (COUNTUNIQE, AVERAGE,
Advertising Campaings PERCENTILE) and data aggregation techniques
Analisis Gained hands-on experience in user behavior analysis and
Theory of probability and Excel automation.
mathematical statistic WORK EXPERIENCE
Product Analysis Electric locomotive driver, Kyiv Locomotive Depot
Data Visualization 2011-now
TOOLS Ensuring the safety of passengers and train movement.
Google Sheets Planning and execution of train schedules.
Tableau Coordination of actions with other services
Introduced a train driving regime map based on traction
Google Analytics
calculation rules, which contributed to reducing electrical
Power BI energy costs for train traction.
DBeaver Trained 3 colleagues on extended service sections, which
Google BigQuery reduced the workload of the dispatch office.
Looker Studio EDUCATION
SOFT SKILLS IT School "GoIT" State economy and Kyiv
Data Analysis technology university electromechanical
Attention to detail
of transport technical school of
Logical thinking 2025
Electric transport railway transport
Honesty 2011 - 2014 Maintenance of
Specialist railway rolling
LANGUAGES stock
English-elementary 2006 - 2011
Ukrainian-native Junior specialist
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