Юлія

YULIIA CHERNIAVSKA
Business/Data Analyst

ABOUT ME
Junior Data Analyst with experience in database management, data quality control,
[open contact info](look above in the "contact info" section) and analytical reporting in the humanitarian sector. Skilled in KoboToolbox, Power
BI, and Python for data processing and visualization. Experienced in designing data
[open contact info](look above in the "contact info" section)
collection tools and supporting data-driven decision-making. Strong analytical
Lviv, Ukraine mindset and attention to detail.

EDUCATION EXPERIENCE
System Analyst (Business Analytics Clients Database Assistant
& Data Science) Malteser Relief Service Lviv l SEP 2023 - present
Lviv Polytechnic National University, Maintenance and validation of beneficiary database;
Lviv IT Cluster program Data processing, reconciliation, and quality control;
2019 - 2023 Kobo administration: design, reporting workflows setup, backup and recovery;
Data extraction, reporting based on project indicators and stakeholder requests;
Development and improvement of data collection tools;
Preparation of analytical reports and optimization of data management.
SKILLS
Tools: KoboToolboox, Excel, Python, ActivityInfo.
Data visualization and
analytics EDUCATIONAL PROJECTS
Process modelling
Stakeholder analysis Global Terrorism Data Visualization
Requirements analysis,
Data visualization l SEP 2022 - DEC 2022
elicitation
Prepared the dataset and processed the data;
Active listening skills
Created Power BI reports;
Good communication skills
Analyzed results
Tools: MS PowerBI.
TECHNOLOGIES & TOOLS Authorized Service Center Analysis
MS PowerBI, R/RStudio Business Process Modelling l MAR 2022 - JUN 2022
Python (NumPy, Pandas), Analyzed the company using:
Anaconda, Jupiter SWOT;
KoboToolbox, ActivityInfo 5 Porters Power;
SQL, MySQL, MS Access Business Motivation Model;
UML, IBM Rational Rose Described AS-IS and TO-BE states;
BPMN, Bizagi Modeller Depicted AS-IS and TO-BE states using BPMN.
Draw.io, Lucid.app Tools: Bizagi Modeller, Lucid.app.
Sales Analysis and Forecasting
Numerical analysis l SEP 2021 - DEC 2021
LANGUAGE
Sales analysis and forecasting of eight groups of drugs on the Serbia market.
Ukrainian - Native Analyzed the data;
English - Upper-Intermediate Performed data forecasting;
German - Elementary Correlation and cluster analysis.
Chinese - Elementary Tools: Excel, R/RStudio.