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Data analyst
- Considering positions:
- Data analyst, Data scientist
- City of residence:
- Cherkasy
- Ready to work:
- Remote
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Tetiana Ashri
Data & AI Specialist | AWS, Google & Microsoft Certified
Cherkasy, Ukraine | Remote - Worldwide | [open contact info ](look above in the "contact info" section) | WhatsApp | LinkedIn | Profile
Summary Key skills
Data & AI specialist with 10+ years of experience in IT business Data:
operations, including finance, team leadership, and process ● Governance & Lineage
improvement. Work in banking on AI adoption, data governance, ● Quality & Preprocessing
and tools that reduce manual work and make complex information ● Exploratory Data Analysis
easier to use. Understand both operations and technology, translate ● Storytelling & Reporting
business requirements into technical specifications, and build
usable solutions. Continue to deepen skills in advanced analytics, Machine Learning & AI:
data science, machine learning, and AI. Value clear reasoning and ● Supervised, Unsupervised
ownership; seek opportunities to develop tools that protect people, ● Feature Engineering
expand their capabilities, and deliver real social value. ● Model Evaluation
● NLP (TF-IDF)
Professional experience ● LLM, Generative AI
● RAG, Fine-tuning
AI Implementation Specialist | Data Analyst ● Prompt Engineering
Data and AI Governance Center at JSB "UKRGASBANK" | Ukraine |
April 2025 – Present DB Technologies & Architecture:
● RDBMS (PostgreSQL)
● AI Governance: Develop the bank’s AI strategy; coordinate AI ● Graph (Neo4j, Memgraph)
adoption across the organization; build AI literacy through ● Data Modeling
educational events and demonstrations for business teams. ● ETL/ELT
● R&D: Research and test technologies; translate business
requirements into tech specifications; experiment with Languages, Queries & Libraries:
GenAI; select suitable technologies for business needs. ● Python (NumPy, Pandas,
● Knowledge Graph: Build a graph database for complex Scikit-learn, Streamlit,
organizational data, interactive relationship visualizations, Matplotlib, Seaborn)
and a user-friendly web interface for DB administration. ● SQL, Cypher, DAX
● Microservices: Develop a multi-layer processing system ● Google Apps Script
combining a database, multiple API integrations, data ● D3.js, HTML/CSS
parsing, and reconciliation. Support further integration.
Tools & Environment:
● Workflow Automation: Build automation tools for data
● Power BI
analysis, preprocessing, reconciliation, and scheduling
● Cloud (AWS)
under complex constraints, reducing manual effort.
● Jupyter, Colab, VS Code
● GenAI Data Pipelines: Design unsupervised NLP and
● Memgraph Lab, DBeaver
scoring pipelines to preprocess and cluster massive
● Git (GitLab, GitHub)
metadata for RAG knowledge base validation.
● Confluence, Jira, Trello
● Data Governance: Contribute to data quality projects
● Google Antigravity, Codex
through data analysis, data lineage research, quality
assessment, and improvement recommendations.
Education
Technologies & Tools: Python (Pandas, Scikit-learn, Streamlit),
Master of Arts (MA)
PostgreSQL, NLP (TF-IDF), REST APIs, Git, Neo4j, Memgraph,
in Cultural Studies
Cypher, D3.js, Google Apps Script, OpenMetadata, Open WebUI
Institute of Contemporary
Art | 2008 - 2014
Data Analysis, Data Science, Machine Learning | Practical Training Credentials
DataCamp | USA | May 2024 – Present
● Google Certified
● Probability Modeling: Estimated purchase probabilities with Generative AI Leader
logistic regression; applied profit-based thresholds to Oct 2026 - Oct 2029
prioritize campaign contacts within capacity limits.
● Financial Classification: Built and evaluated Logistic ● AWS Certified AI Business
Regression, Decision Tree, and LightGBM models; selected Strategist
the best-performing one. Oct 2026 - Oct 2029
● Predictive Modeling: Built and evaluated regression models
● AWS Certified Cloud
for property prices and customer spending; explored
Practitioner
predictive features; estimated loyalty program reward costs.
Sep 2026 - Sep 2029
● Clustering: Applied k-means to group species based on
physical characteristics and visualized the results. ● Google Data Analytics
● Classification: Built crop recommendation models using soil Professional
measurements; evaluated performance and key features. Issued Sep 2026
● Sales Analysis: Analysed sales data, compared sales
methods, and presented findings through viz and reports. ● AWS Certified AI
Practitioner
Technologies & Tools: Python, SQL, NumPy, Pandas, Scikit-learn, Aug 2026 - Aug 2029
Matplotlib, Seaborn
● Microsoft Power BI
Data Analyst Associate
Co-founder & CFO | Process Automation Analyst Jul 2026 - Jul 2027
Artel Outstaffing Global | USA, Ukraine | Apr 2022 – Dec 2023
● Financial Operations: Managed financial planning, ● Google AI Professional
budgeting, and cash flow optimization using QuickBooks. Issued Jun 2026
● Process Automation: Developed automation for business
● Data Governance
processes using Document Studio and Google Sheets,
Issued Jun 2026
improving data accuracy and reducing manual errors.
● Workflow Analysis: Used Looker Studio to analyse ● Data Engineer Associate
workflows and identify opportunities for improvement. Mar 2025 - Mar 2027
● Data Scientist Associate
IT Talent Integration Team Lead | Specialist Feb 2025 - Feb 2027
AOG.jobs | Ukraine | Aug 2016 – Apr 2022
● Team Lead | Apr 2021 – Apr 2022 ● GitHub Foundations
○ Led IT recruitment activities for clients ranging from Nov 2024 - Nov 2027
startups to Fortune 500 companies, aligning hiring ● Data Analyst Professional
priorities with business needs. Sep 2024 - Sep 2026
○ Developed sourcing approaches, coordinated the
recruitment team, and maintained client relationships. ● EF SET English Certificate
Issued Sep 2024
● Specialist | Aug 2016 – Mar 2021
○ Managed full-cycle IT recruitment, matching candidates
Languages
to client requirements and project needs.
○ Coordinated multiple hiring projects and assessed ● English - fluent
candidates’ technical skills, team fit, and growth ● Ukrainian - native
potential, securing long-term collaboration.
Data & AI Specialist | AWS, Google & Microsoft Certified
Cherkasy, Ukraine | Remote - Worldwide | [
Summary Key skills
Data & AI specialist with 10+ years of experience in IT business Data:
operations, including finance, team leadership, and process ● Governance & Lineage
improvement. Work in banking on AI adoption, data governance, ● Quality & Preprocessing
and tools that reduce manual work and make complex information ● Exploratory Data Analysis
easier to use. Understand both operations and technology, translate ● Storytelling & Reporting
business requirements into technical specifications, and build
usable solutions. Continue to deepen skills in advanced analytics, Machine Learning & AI:
data science, machine learning, and AI. Value clear reasoning and ● Supervised, Unsupervised
ownership; seek opportunities to develop tools that protect people, ● Feature Engineering
expand their capabilities, and deliver real social value. ● Model Evaluation
● NLP (TF-IDF)
Professional experience ● LLM, Generative AI
● RAG, Fine-tuning
AI Implementation Specialist | Data Analyst ● Prompt Engineering
Data and AI Governance Center at JSB "UKRGASBANK" | Ukraine |
April 2025 – Present DB Technologies & Architecture:
● RDBMS (PostgreSQL)
● AI Governance: Develop the bank’s AI strategy; coordinate AI ● Graph (Neo4j, Memgraph)
adoption across the organization; build AI literacy through ● Data Modeling
educational events and demonstrations for business teams. ● ETL/ELT
● R&D: Research and test technologies; translate business
requirements into tech specifications; experiment with Languages, Queries & Libraries:
GenAI; select suitable technologies for business needs. ● Python (NumPy, Pandas,
● Knowledge Graph: Build a graph database for complex Scikit-learn, Streamlit,
organizational data, interactive relationship visualizations, Matplotlib, Seaborn)
and a user-friendly web interface for DB administration. ● SQL, Cypher, DAX
● Microservices: Develop a multi-layer processing system ● Google Apps Script
combining a database, multiple API integrations, data ● D3.js, HTML/CSS
parsing, and reconciliation. Support further integration.
Tools & Environment:
● Workflow Automation: Build automation tools for data
● Power BI
analysis, preprocessing, reconciliation, and scheduling
● Cloud (AWS)
under complex constraints, reducing manual effort.
● Jupyter, Colab, VS Code
● GenAI Data Pipelines: Design unsupervised NLP and
● Memgraph Lab, DBeaver
scoring pipelines to preprocess and cluster massive
● Git (GitLab, GitHub)
metadata for RAG knowledge base validation.
● Confluence, Jira, Trello
● Data Governance: Contribute to data quality projects
● Google Antigravity, Codex
through data analysis, data lineage research, quality
assessment, and improvement recommendations.
Education
Technologies & Tools: Python (Pandas, Scikit-learn, Streamlit),
Master of Arts (MA)
PostgreSQL, NLP (TF-IDF), REST APIs, Git, Neo4j, Memgraph,
in Cultural Studies
Cypher, D3.js, Google Apps Script, OpenMetadata, Open WebUI
Institute of Contemporary
Art | 2008 - 2014
Data Analysis, Data Science, Machine Learning | Practical Training Credentials
DataCamp | USA | May 2024 – Present
● Google Certified
● Probability Modeling: Estimated purchase probabilities with Generative AI Leader
logistic regression; applied profit-based thresholds to Oct 2026 - Oct 2029
prioritize campaign contacts within capacity limits.
● Financial Classification: Built and evaluated Logistic ● AWS Certified AI Business
Regression, Decision Tree, and LightGBM models; selected Strategist
the best-performing one. Oct 2026 - Oct 2029
● Predictive Modeling: Built and evaluated regression models
● AWS Certified Cloud
for property prices and customer spending; explored
Practitioner
predictive features; estimated loyalty program reward costs.
Sep 2026 - Sep 2029
● Clustering: Applied k-means to group species based on
physical characteristics and visualized the results. ● Google Data Analytics
● Classification: Built crop recommendation models using soil Professional
measurements; evaluated performance and key features. Issued Sep 2026
● Sales Analysis: Analysed sales data, compared sales
methods, and presented findings through viz and reports. ● AWS Certified AI
Practitioner
Technologies & Tools: Python, SQL, NumPy, Pandas, Scikit-learn, Aug 2026 - Aug 2029
Matplotlib, Seaborn
● Microsoft Power BI
Data Analyst Associate
Co-founder & CFO | Process Automation Analyst Jul 2026 - Jul 2027
Artel Outstaffing Global | USA, Ukraine | Apr 2022 – Dec 2023
● Financial Operations: Managed financial planning, ● Google AI Professional
budgeting, and cash flow optimization using QuickBooks. Issued Jun 2026
● Process Automation: Developed automation for business
● Data Governance
processes using Document Studio and Google Sheets,
Issued Jun 2026
improving data accuracy and reducing manual errors.
● Workflow Analysis: Used Looker Studio to analyse ● Data Engineer Associate
workflows and identify opportunities for improvement. Mar 2025 - Mar 2027
● Data Scientist Associate
IT Talent Integration Team Lead | Specialist Feb 2025 - Feb 2027
AOG.jobs | Ukraine | Aug 2016 – Apr 2022
● Team Lead | Apr 2021 – Apr 2022 ● GitHub Foundations
○ Led IT recruitment activities for clients ranging from Nov 2024 - Nov 2027
startups to Fortune 500 companies, aligning hiring ● Data Analyst Professional
priorities with business needs. Sep 2024 - Sep 2026
○ Developed sourcing approaches, coordinated the
recruitment team, and maintained client relationships. ● EF SET English Certificate
Issued Sep 2024
● Specialist | Aug 2016 – Mar 2021
○ Managed full-cycle IT recruitment, matching candidates
Languages
to client requirements and project needs.
○ Coordinated multiple hiring projects and assessed ● English - fluent
candidates’ technical skills, team fit, and growth ● Ukrainian - native
potential, securing long-term collaboration.
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