Vladislav Stasenko

- Developed an AI-based automated product matching tool for bills of quantities; integrated AI agents into the tender (Ausschreibung) extraction pipeline, improving match rate from 65% to 87%. - Solo project: designed and developed a graph-based ML tool for feasibility assessment and price estimation of custom lighting solutions (basis of Master's thesis). - Acted as data science consultant for internal business units, integrating data-driven solutions into the sales process. - DevOps: moved GitLab + AWS pi

- Redesigned and automated platform and deployment workflows, increasing release frequency from weekly/monthly cycles to daily and hourly updates. - Reduced manual data upload and correction effort from a 2–3 person, 3–4 hour weekly process to a largely automated ingestion pipeline requiring only single-person validation of extracted and pre-processed data. - Improved operational scalability by shifting from manual intervention-based data handling to automated validation and loading workflows, signif

- Developed and maintained data processing scripts using Python and R. - Created and managed business intelligence reports and dashboards in Power BI. - Prepared, transformed, and validated data exports for import into database systems. - Supported data analysis and reporting workflows by ensuring data quality and consistency.

- Developed learning materials, exercises, and instructional videos for introductory database topics. - Created content covering database modeling using SQLite and fundamentals of SQL querying. - Supported the migration of course database environments from Microsoft Access to SQLite for the Business Informatics curriculum.

Thesis: "Graph-Based Machine Learning for Feasibility Prediction and Price Estimation of Custom Lighting Solutions for ''TRILUX GmbH & Co. KG" Advanced study of data-driven systems, machine learning, statistical modeling, and large-scale data processing alongside full-time employment. Coursework i

Exchange semester via Erasmus+ Program

Thesis: "Prediction of After-Publication Promotional Effects on Corporate Social Media Posts". Graduated with distinction from an international business program, combining core management disciplines with specialization in quantitative finance and data analytics. Centered on data‑driven decisions,