Загруженный файл CV

Copenhagen, Denmark

EDUCATION

Technical University of Denmark
MSc Business Analytics
January 2023 - April 2025
Kgs. Lyngby, DK

• Identifying business opportunities through effective data analysis and visualizations
• Developing advanced Machine Learning and Deep Learning models
• Applying mathematical optimizations techniques for improving model accuracy
• Collaborated on projects with industry partners to implement data-driven solutions
  Focused on Data Analysis and communication of results to a larger audience
• MSc. Thesis: The application of deep learning NLP for automatic classification of multiplicity within 1D NMR spectroscopy

Technical University of Denmark
BSc General Engineering - Cyber Systems Specialization
September 2019 - June 2023
Kgs. Lyngby, DK

• Gained proficiency in software development and testing
• Completed comprehensive coursework in Mathematics, Business Analytics, and Economics
• Big Data and Massive datasets processing and transformation
• BSc. Thesis: Synthetic data generation and analysis for a digital patient twin model to support rehabilitation with exoskeletons

WORK EXPERIENCE

Junior Data Scientist, Analytics BI Management
Nilfisk
2021-2025
Copenhagen, Denmark

• Developed and maintained business intelligence dashboards to enhance reporting efficiency
• Automated data reporting processes, resulting in a 30% increase in efficiency
• Collaborated with key stakeholders to optimize business insights and data-driven strategies

Junior Technical Assistant, Enterprise Architecture
Novozymes
2023 - 2025
Copenhagen, Denmark

• Assisted in implementing enterprise architecture strategies and solutions
• Optimized data workflows and collaborated on infrastructure design using Azure and Bizdesign tools
• Analyzed data to support strategic decisions on system improvements

COMPETENCES

• Programming: Python, R, SQL; environments: Jupyter Notebook, Google Colab
• Machine Learning: model development, training, and deployment using scikit-learn, XGBoost, TensorFlow, PyTorch, Hugging Face
• Data engineering: scalable data loading, transformation, and inference using PySpark, Data Lakes, SAS, Data Bricks and large-scale architectures
• Data visualization and BI: Power BI, Power Apps, Microsoft Fabric, custom dashboards
• Model optimization: hyperparameter tuning, distributed training, and pipeline automation
• Business systems: integration with SAP, ERP, and ML-based decision support
• Data structures, algorithms, and advanced data manipulation for analytical workflows
• Quantitative methods: simulation, forecasting, statistical inference
• Version control and collaboration: Git, GitHub, Agile (Scrum, Jira, Confluence)
• Office tools: advanced use of Excel (pivot tables, formulas, VBA), PowerPoint, Word
• Generative AI: working knowledge of transformer models, LLM fine-tuning, and AI ethics

LANGUAGES

• English
• French
• Russian (mother-tongue)
• Romanian (mother-tongue)
• Danish