Анастасія

Anastasiya Lyashenko
Email address: [відкрити контакти](див. вище в блоці «контактна інформація») | Phone number: [відкрити контакти](див. вище в блоці «контактна інформація»)
Data of birth: 19/10/2001 | Nationality: Ukrainian
Social media: [відкрити контакти](див. вище в блоці «контактна інформація»)

EDUCATION

W. P. Carey School of Business, Arizona State University
Tempe, AZ | May 2025
Bachelor of Science in Business Data Analytics
• GPA: 3.7/4.00
• Awards & Honors: New American University Scholarship, Dean's List (Multiple Semesters)
• Relevant Coursework:
o Programming for Business Analytics
o Business Database Systems
o Business Data Warehouse Dimensional Model
o Business Machine Learning
o Big Data Analytics in Business
o Business Statistics
o Cyber Risk Management
o Enterprise Analytics

University of Amsterdam, College of Economics and Business
Amsterdam, The Netherlands | June 2020
Undergraduate Foundation Program - BSc Politics, Psychology, Law and Economics
• GPA: 3.85/4.00
• Achievement: Successfully completed intensive international foundation program

ACADEMIC PROJECTS

Verde Brewing Company Analytics Consulting Project
Arizona State University | January 2025 – May 2025
• Analyzed comprehensive seasonal beer sales data using Python and SQL to develop targeted
marketing recommendations
• Built and deployed predictive models using scikit-learn to identify optimal food-beer pairings,
increasing cross-selling opportunities
• Conducted spatial analysis examining correlation between restaurant layout and order volume using
Power BI dashboards
• Presented findings to stakeholders with interactive visualizations and actionable insights
E-commerce Shipping Optimization Study
Arizona State University | March 2024 – April 2024
• Conducted exploratory data analysis on 50,000+ shipping records to identify patterns in e-commerce
logistics
• Performed comprehensive data preprocessing including handling missing values, outlier detection,
and feature engineering
• Developed, trained, and evaluated machine learning models (Random Forest, XGBoost) achieving
87% accuracy in predicting shipment delays
• Created automated reporting pipeline using Python to monitor key performance metrics

PROFESSIONAL EXPERIENCE

Business Data Analyst
VISTA LLC, Dnipro, Ukraine | May 2025 – Present
 • Migrated outdated Excel-based reporting to interactive, real-time dashboards in Power BI for
executive leadership, reducing report generation time by 3 hours
• Presented complex findings and strategic recommendations to C-suite executives and cross-functional
teams in weekly business reviews, influencing decisions that led to a streamlined operation model.
• Managed and governed library of published Power BI reports and dataflows, ensuring consistency in
key metric definitions and compliance with internal data standards
Business Analyst Intern
VISTA LLC, Dnipro, Ukraine | May 2024 – June 2024
• Analyzed and documented data reporting processes in confectionery operations, identifying
inefficiencies through process mining techniques
• Designed and implemented workforce forecasting models using statistical analysis, optimizing
production scheduling and reducing labor costs by 25%
• Created automated dashboards in Excel and Power BI for real-time production monitoring
• Collaborated with cross-functional teams to implement data-driven process improvements
Instructional Aide for Economics
W. P. Carey School of Business, Arizona State University | January 2023 – December 2023
• Supported 50+ students weekly by clarifying economic concepts and facilitating practical exercises,
improving student comprehension and engagement.
• Assisted instructors with class management, exam proctoring, and administrative tasks while ensuring
academic integrity

TECHNICAL SKILLS

Programming & Analytics
• Python: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Jupyter Notebooks
• SQL: Advanced queries, stored procedures, database optimization, PostgreSQL, MySQL
Data Visualization & BI Tools
• Power BI: Dashboard creation, DAX formulas, data modeling, report automation
• Tableau: Interactive visualizations, calculated fields, parameter controls
• Excel: Advanced functions, VBA macros, pivot tables, Power Query, statistical analysis
Cloud & Database Technologies
• Google Cloud Platform: BigQuery, Cloud Storage, Dataflow basics
• Database Systems: Relational database design, ETL processes, data warehousing concepts
Statistical & Machine Learning
• Regression analysis, classification algorithms, clustering techniques
• A/B testing, hypothesis testing, time series analysis
• Feature engineering, model evaluation and optimization
Additional Tools
• Microsoft Office Suite: Advanced proficiency in all applications
• Visual Studio: IDE for Python and data science projects
• SPSS: Statistical analysis and reporting

LANGUAGES

• English: C1/C2 (Fluent)
• Ukrainian: Native
• Russian: Native