Maria

Curriculum Vitae
Maria Bilyk
[відкрити контакти](див. вище в блоці «контактна інформація»)
Email: [відкрити контакти](див. вище в блоці «контактна інформація»)

PROFESSIONAL PROFILE
Sr Data Analyst/Jr Data Scientist with strong analytical, mathematical, and econometric
background. Experienced in data cleaning, visualization, predictive modeling, and
automating analytics workflows using Python and cloud-based tools. Skilled in building
and validating machine learning models, working with large datasets, and deploying
analytics pipelines on Google Cloud (BigQuery).International experience from leading
global companies (Bayer, IQVIA, BNP Paribas, AIG, Johnson & Johnson) with a proven
record of bridging business insights and technical implementation.
Scientific work
1. Аналіз структури угод дпп в україні за галузями критичної інфраструктури
1999-2023 рр doi: 10.36074/grail-of-science.02.08.2024.017
2. Розвиток економічних теорій та їх вплив на формування державноприватного
партнерства doi: 10.36074/grail-of-science.15.03.2024.001
3. Використання концесій в україні як основного механізму державно-
приватного партнерства doi: 10.5281/zenodo.10664365
4. Research aspects of public-private partnership in infrastructure recovery in ukraine
doi: 10.36074/scientia-14.07.2023
5. Аналіз факторів формування державно-приватного партнерства на
регіональному рівні herald of khmelnytskyi national university. economic
sciences 2025-08-28 | doi: 10.31891/2307-5740-2025-344-4-9

Core tools: Python (pandas, NumPy, scikit-learn, SciPy, Matplotlib, Seaborn), SQL,
Google Cloud BigQuery, Jupyter, PyCharm, Tableau, Power BI
Other tools: Machine learning, predictive analytics, data engineering, regression and
clustering models, data visualization, automation

TECHNICAL SKILLS

Programming: Python, R, SQL
Libraries: pandas, NumPy, scikit-learn, SciPy, Matplotlib, Seaborn
Machine Learning: Regression, Classification, Clustering (K-Means, Random Forest,
Decision Trees), Model Validation, Feature Engineering
Cloud & Data Tools: Google Cloud BigQuery, Jupyter, PyCharm, Tableau, Power BI,
SPSS
Databases: MySQL, PostgreSQL
Methodologies: Agile / Scrum, ITIL, Waterfall
Other Systems: Salesforce, SAP, Oracle Financials

WORK EXPERIENCE

2026/1 – 2026/09 GSCF Fund Jr. Data Scientist /Data analyst

- Performed exploratory data analysis on global trade finance, accounts receivable
(AR), and payables datasets to evaluate cash conversion cycles, liquidity trends,
and buyer-supplier dynamics using Python (Pandas, NumPy) and SQL
(PostgreSQL).
- Assisted in designing, backtesting, and validating quantitative risk models (e.g.,
probability of default, loss given default, counterparty credit scoring) to evaluate
financial health using Python (Scikit-Learn, Statsmodels) and Jupyter Notebooks.
- Developed baseline machine learning scripts to detect concentration risks, sudden
supplier performance degradation, and transactional anomalies using Python
(Scikit-Learn - Isolation Forest, DBSCAN).
- 4. Stress-Testing Frameworks: Contributed to constructing predictive financial
stress-testing scripts in Python to simulate the impacts of macroeconomic shifts,
rate changes, and supply chain disruptions on fund liquidity using SciPy and
Statsmodels.
- Wrote clean, maintainable Python code using Pandas, NumPy, Scikit-Learn, and
PySpark to clean, transform, and ingest large-scale financial data from ERP
systems (SAP, Oracle) via REST APIs and SQL.
- Supported the training, evaluation, deployment, and monitoring of supervised and
unsupervised ML models in production to evaluate accuracy and track model drift
using MLflow, Git, and Docker.
- Applied basic Natural Language Processing (NLP) techniques to extract
unstructured financial metrics, key terms, and risk factors from trade documents,
financial statements, and contracts using Python (spaCy, NLTK, PyPDF2) and
Tesseract OCR.
- Built dynamic dashboards and interactive visual reporting tools using Tableau,
Power BI, and Plotly / Seaborn to visualize portfolio metrics, risk distribution,
and performance

2024/9 – 2026/01 Estee Lauder Lead Business Analyst /Data analyst
- Defined, implemented, and enforced BA methodologies, tools, and best practices
within the Salesforce domain.
- Performed allocation of BA resources across Salesforce projects and initiatives,
ensuring alignment with strategic priorities.
- Managed and ensure the high quality, completeness, and accuracy of
requirements, user stories, and functional specifications produced by the BA
team.
- Partnered with senior stakeholders to understand business strategies and translate
them into a Salesforce roadmap and actionable initiatives.

- Lead the analysis of highly complex, cross-functional business problems,
identifying underlying causes and proposing comprehensive Salesforce-based
solutions.
- Conducted detailed analysis of Salesforce capabilities (Sales Cloud, Service
Cloud, Marketing Cloud, etc.), identifying gaps between business needs and
Salesforce standard functionality, and proposing custom solutions.
- Lead advanced requirement elicitation workshops, interviews, and discovery
sessions with diverse stakeholder groups, including executive leadership.
- Overseed and/or created detailed functional specifications, user stories (with
acceptance criteria), process flows, use cases, and data models for complex
Salesforce implementations.
- Managed and controlled project scope, ensuring changes are properly
documented, assessed for impact, and approved.
- Lead role in grooming and prioritizing the Salesforce product backlog in
collaboration with Product Owners.
- Creating and conducting new operation processes, flows, policies, and templates
around different support roles
- Run and improve release processes and change request backlog/implementation
plan.
- Maintain services lifecycle, including service transition, knowledge management,
release management, incident/problem/continuous improvement processes and
phases.
2022/9 – 2024/011 Sompo International Project Manager/
- Supported data project initiation, scoping, and requirement analysis, translating
business needs into data-driven solutions
- Applied and maintained data governance and quality standards using SQL and
Python to clean, validate, and transform datasets
- Designed and delivered interactive dashboards and reports in Power BI, providing
actionable insights for stakeholders
- Monitored data pipelines and workflows, using SQL queries and Python scripts to
detect issues and ensure timely escalation in line with SLAs
- Tracked and validated data changes and transformations, ensuring accuracy and
compliance with change management processes
- Performed data analysis and visualization to identify trends, anomalies, and
opportunities for business improvement
2021/7 - 2022/9 IQVIA BA Salesforce/ Data Analyst
- Participated in daily Scrum rituals to prioritize data analysis tasks, clarify
requirements, and ensure alignment with business goals.
- Maintained Confluence documentation of data models, SQL queries, and Python
workflows to provide a transparent knowledge base for stakeholders.

- Contributed to defining the analytics roadmap, selecting suitable technologies
(SQL, Python, Tableau/Power BI) to support reporting and predictive analysis.
- Tracked data dependencies and deliverables across teams using Agile trackers,
ensuring smooth integration of data sources and pipelines.
- Improved the data delivery process by automating repetitive analysis tasks with
Python (pandas, NumPy) and optimizing SQL queries for performance.
- Identified and mitigated risks in data pipelines, ensuring data quality, integrity,
and timely delivery of insights.
- Delivered sprint demos showcasing dashboards, KPIs, and analytical models to
stakeholders, enabling data-driven decision-making.
- Applied best practices in Salesforce data extraction and transformation,
integrating CRM data into reports and analytical models.
- Supported the migration of analytics and reporting workflows into SAFe (Scaled
Agile Framework), enabling large-scale coordination of data-driven initiatives.

2021/1 – 2021/7 Sunshine Gasoline BA Salesforce/Data analyst
- Conducted data discovery and exploration to understand business needs and
identify data sources
- Gathered and documented data requirements and feature definitions, translating
them into analytical solutions
- Maintained Definition of Done (DoD) to ensure data quality, completeness, and
consistency across deliverables
- Actively participated in Agile Scrum and SAFe ceremonies, contributing data
insights to sprint planning, reviews, and retrospectives
- Managed and tracked tasks using Jira and documented processes in Confluence
- Collaborated with technical teams on Salesforce architecture, supporting data
models, reporting, and integration requirements
- Utilized SQL and Python for data extraction, transformation, and analysis to
support Scrum deliverables
- Created Power BI dashboards and reports to support decision-making and provide
clear visibility into progress and performance
- Facilitated and enhanced Scrum events using data-driven techniques to improve
engagement and outcomes
- Assessed team data maturity and contributed to improving data practices and
analytical capabilities within the team
- Communicated progress and insights to stakeholders, ensuring transparent and
actionable reporting
- Supported Product Owners with data-backed backlog refinement, prioritization,
and roadmap planning

2020/4 -2021/1 Allison Transmission BA / Salesforce
- Introduction of Scrum to the project
- Defining ServiceNow as main Project Scrum Tool
- Introduction of Scrum procedures and rituals to the teams
- Maintaining Scrum Rituals
- Defining the roadmap and the technologies
- Integration with SAP
- Application of best practice Salesforce
- Running of Sprint planning sessions and daily stand-ups.
- Coach the team in working effectively.
- Organize and conduct show & tell sessions.
- Decompose user stories into more granular tickets
- Working closely with the Product Owner and stakeholders
- Potentially helping/mentoring Associate Scrum Masters

2018/01 -2019/6 Bayer BA/ Analyst Salesforce
- Defining the project Scope
- Agile methodology project running, User stories, Burndown charts
- Project management using Sprints and User Stories
- Salesforce Pharma CPG solution implementation
- Managed near shore and offshore teams of developers
- Functional specifications based on user stories
- Ensured that the backlogs, daily stand-ups, sprint planning, spring demos and
retrospective meetings are executed accordingly and optimizing the team
performance.
- Documented and communicated progress and external blockers to upper
management and multiple stakeholders.
- Input into planning and estimation in Agile framework to fulfil the requirements
backlog
- Acted as a Scrum Master for multiple Scrum teams, working on multiple
concurrent projects
- Ownership for team successful project delivery
- Managing the UAT/integrations/ MDM teams
- Preparing and animating the SteerCo/Daily follow up meetings/Management
boards

EDUCATION

2022-present Phd Kyiv Shevchenko University

2010 - Masters in Public Economics Panthéon - Sorbonne Paris 1 (Bac+5)
Thesis: Deregulation of last standing monopoly infrastructure in France, La poste,
deregulation is a benefit or a road to destruction?

LANGUAGES: French Almost native, English native

TRAINING AND CERTIFICATIONS
• Salesforce Admin certification, Advanced Admin, App builder
• SAP Business Objects Administration/Reports development SA
• SAP All-in-One Level 1 Solution Consultant Certification from SAP Corporation
• SAP FI/CO Business Processes Training by SAP Corporation
• Oracle Financials 11i Overview Training by Oracle Corporation
• Bank of America Hedging Instruments and Derivative Instruments Training
• HIPAA Security and Regulations Certificate
• Certificate in Analytical and Investigative Techniques for Competition and Unfair
Competition Cases from FTC/DOJ USA