Ірина

IRYNA YUDINA
Data Analyst with HR &
Economics Background

ABOUT ME
Data professional with over 10 years of experience in the railway sector
[открыть контакты](см. выше в блоке «контактная информация») and workforce planning. Currently transitioning into data analytics,
[открыть контакты](см. выше в блоке «контактная информация») leveraging a strong foundation in economic analysis, reporting, and HR
Poltava, Ukraine metrics. Skilled in deriving insights from performance indicators, building
dashboards, and collaborating with stakeholders to improve decision-
[открыть контакты](см. выше в блоке «контактная информация»)
making and labor efficiency.
@IreneYudina
PROFESSIONAL DEVELOPMENT
HARD SKILLS Data Analytics
Excel
DAN IT Education
Power BI
Oct 2024 – May 2025
SQL Curriculum: Excel, Power BI, SQL, Python for Data Analysis, statistics, data
Python for Data Analysis visualization.
EDA, basic of statistcs and
probability theory HR-Start, HR-Proffi
HR Analytics Lviv HR Solutions
Nov 2023 – May 2024
SOFT SKILLS Focus on data-driven HR decision-making, Power BI dashboards, and KPI
Emotional Intelligence analysis.
Linterpersonal skills
Critical thinking WORK EXPERIENCE
Organization Ukrainian Railways (Ukrzaliznytsia)
Accountability Labor Organization and Standards Manager
Resilience Apr 2008- Feb 2021
Antifragility human resources planning;
calculation and analysis of key performance indicators to inform strategic
LANGUAGE decisions;
development and implementation of labor norms and standards;
Ukrainian native
ensure compliance with labor laws;
English intermediate collaborate with Management (work closely with management teams to
Croatian biginner align labor strategies with organizational goals);
develop training programs (create and implement training initiatives to
PROJECTS educate staff on labor standards, safety protocols, and efficient work
Power BI Project: Retail practices);
manage labor relations (facilitate communication between management
Expansion Dashboard (Toy
and employees or labor unions to resolve conflicts and negotiate
Stores) agreements);
Tools: Power BI, DAX, data сreated data-driven documentation and reports on labor norms using Excel
modeling, Power Query and structured formats;
analyzed performance indicators across departments to identify
IKEA Product Data Analysis inefficiencies and support data-based decisions;
(Python, ML) designed internal reports to monitor labor productivity and cost savings.
Tools: Python, pandas, scikit-
learn, matplotlib, seaborn EDUCATION
Exploring BCP Practices in Master of Economics
Ukraine: Real Cases and HR Ukrainian State Railway Academy
Involvement 2003 – 2008
Format: Capstone project (HR
course)