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AI engineer

Considering positions:
AI engineer, Data scientist, Дата-аналітик, Quality data manager, IT-спеціаліст, Промпт-інженер, Аналітик з маркетингу, Бізнес-аналітик
Age:
30 years
City of residence:
Other countries
Ready to work:
Remote

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JANE VAUCHOK
AI Engineer | Data Scientist | Data Analyst
Netherlands (Amsterdam preferred) · +31 6 2616 024 · [open contact info](look above in the "contact info" section) ·
[open contact info](look above in the "contact info" section)

PROFESSIONAL SUMMARY
AI-focused Data Scientist with 4+ years of experience designing forecasting systems, production AI agents, and SQL-based
analytical layers that turn business requirements into scalable, intelligent data solutions. Builds and deploys LLM-powered
automation for legal, compliance, and operational teams, combining Python engineering with statistical forecasting, graph data
modeling, and BI enablement. Comfortable owning a problem end to end: from data pipeline and model logic through to the
dashboards and workflows business stakeholders rely on daily.

AI in production: Snowflake-based LLM agent used daily by the Business impact: Helped avoid recurring compliance fines
internal Legal team previously costing millions of euros

Scale: Forecasting delivered across 250,000 products, 1,182 BI enablement: ~200 reusable SQL functions/procedures
categories, 12,000 groups powering analytics & reporting

AI EXPERIENCE
AI Agent Development: Designed and deployed a production LLM agent (Snowflake + Python) used by the internal Legal team to
search and reason over legal documents and structured business data.
LLM Integration & Workflows: Embedded LLM-based reasoning into operational workflows to process legal and compliance data
at scale.
Prompt Engineering: Structured prompts and retrieval logic so the agent could reliably interpret business and legal context.
AI-Assisted Analytics: Combined AI agent output with SQL-based analytical layers to support compliance and cost-risk decisions.
Graph Database Applications: Modeled and queried Neo4j graph data to support operational, legal, and compliance analytics.
Business Process Automation: Automated packaging-material usage calculations, replacing manual review and reducing fine
exposure.

CORE SKILLS
Programming & Analysis: Python, SQL, T-SQL, statistical analysis, forecasting, Jupyter notebooks
AI & Machine Learning: LLM integration, AI agents, prompt engineering, AI workflow automation, predictive analytics,
interpolation methods, Gaussian smoothing
Data Engineering: Snowflake, SQL functions/procedures, ETL-style data preparation, data validation, reporting layers, Neo4j &
graph databases
Analytics & BI: Power BI, Tableau fundamentals, BI-ready dataset design, dashboard data modeling, reporting automation
Domains: Compliance analytics, legal-document automation, packaging-material analytics, operational analytics, marketing
intelligence

WORK EXPERIENCE

Data Scientist | B&S May 2022 – Present
● Developed forecasting logic for packaging-material usage across 250,000 products, 1,182 categories, and 12,000 groups,
supporting compliance reporting, operational planning, and cost-risk reduction.
● Designed interpolation and Gaussian smoothing components for the forecasting engine, improving accuracy on sparse
and noisy category-level data.
● Built and deployed a production AI agent (Snowflake, Python, LLM workflows) for the internal Legal team, enabling faster,
more consistent search and analysis of legal documents and structured business data.
● Architected an AI-based analytics workflow to calculate packaging material usage across large product hierarchies, helping
avoid recurring compliance fines that had previously cost the company millions of euros.
● Created roughly 200 reusable SQL functions and procedures in T-SQL to support BI reporting, data validation, and
analytics workflows.
● Prepared BI-ready datasets for analysts and business stakeholders, feeding Power BI and Tableau-style dashboards.
● Worked across Snowflake, Neo4j graph data, and Jupyter notebooks to deliver operational, legal, and compliance-related
analytics.
● Collaborated with BI, Legal, and business stakeholders to translate business questions into data and AI-driven solutions.
Marketing Communication Consultant (Graduation Project) | Holland Trading GroupMar 2017 – Jul 2017
● Delivered research, analysis, and communication materials to support business decision-making as part of a graduation
project in marketing communication and business analysis.
Vendor Manager Assistant | Intertranslations Ltd Jan 2016 – Jul 2016
● Supported vendor management and coordination activities in an international business environment.
Introduction Guide | ESN Groningen Aug 2014 – Dec 2014
● Supported international student onboarding and communication activities.

SELECTED PROJECTS
AI-Powered Demand Forecasting Engine
Objective: Forecast packaging-material usage across a large, sparse product hierarchy to support compliance and cost-risk decisions.
Technologies: Python, SQL, Snowflake, interpolation methods, Gaussian smoothing
Impact: Delivered reliable forecasts across 250,000 products, 1,182 categories, and 12,000 groups; reduced noise in sparse category-level
data.
Production Legal-Document AI Agent
Objective: Give the internal Legal team a faster way to search, process, and reason over legal documents and structured business context.
Technologies: Snowflake, Python, LLM workflows, prompt engineering
Impact: AI agent adopted into daily Legal team workflows; helped avoid recurring fines previously costing millions of euros.
BI SQL Enablement Layer
Objective: Give BI analysts a consistent, reusable foundation for reporting and validation logic.
Technologies: T-SQL, Snowflake, Power BI
Impact: Approximately 200 SQL functions and procedures adopted across BI reporting, data preparation, and validation workflows.

EDUCATION
University of Groningen — Master's Degree, Marketing Intelligence · 2019 – 2021
University of Groningen — Pre-Master, Business Administration and Management · 2018 – 2019
Hanze University of Applied Sciences Groningen — International Business · 2017 – 2018
Hanze University of Applied Sciences Groningen — Bachelor of Applied Science, Communication and Media Studies · 2013 – 2017
Universität Salzburg — Erasmus Exchange Program · 2015 – 2016

CERTIFICATIONS & LANGUAGES
Certifications: AI Advanced Training · Advanced Open Water Diver
Languages: Russian (native/bilingual) · English (professional working) · Dutch (professional working)

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