Felix Brunner
Project
Experience
Project
Machine status detection in industrial 3D printing based on infrared image data
- Guided systematic data collection and pre-processing for the machine learning algorithms
- Defined the labeling process and implemented an interface to annotate the datasets
- Programmed a visual deep learning algorithm to detect machine pollution in live production
- Implemented data augmentation techniques to deal with machine heterogeneity
- Supplied a containerized model with API endpoints for deployment to the production machines
- Coordinated and represented a five-person project team, prepared presentations and reports
Project
Quality prediction based on time series data in a manufacturing context
- Analyzed and visualized large amounts of time series data
- Explored, filtered and connected various data sources to construct consistent datasets
- Conceptualized the data pipelines and modeling approaches
- Implemented a machine learning system for quality prediction in a manufacturing context
- Tested various predictive algorithms including statistical models and deep neural networks
Machine Learning Scientist
dida Machine Learning
- Conducted deep learning research projects in computer vision and time series data science
- Implemented commercial machine learning software in a manufacturing context
- Developed data processing pipelines for deployment into live production
- Conceptualized application of large language models for question answering
- Represented and organized a five-person project team
- Prepared analyses and visualizations of large amounts of unstructured data
Project
Automated question answering via retrieval of internal documents
- Created a demo for extractive QA based on a provided document
- Developed proof-of-concept for automatic question answering with semantic search
- Expanded processing pipeline to larger quantities of internal documents via automatic retrieval and generative QA with large language models
- Informed developers about recent advancements in natural language processing
Project
Estimation and analysis of variance spillover networks for academic research
- Explored and compared statistical learning algorithms for multivariate forecasting
- Acquired datasets from SQL databases and set up an automated pre-processing pipeline
- Wrote object-oriented code to run cross-validated regularized machine learning algorithms
- Conducted extensive statistical and econometric analyses to empirically analyze the results
- Authored research papers presenting the results at academic standard
Teaching Assistant
Universidade Nova de Lisboa
- Supported teaching and grading of Master’s courses in financial data analysis
- Generated course materials, assignments and exams
Quantitative Strategies Intern
risklab / Allianz Global Investors
- Provided data-driven research on fund performance and portfolio optimization
- Prototyped tools for investment strategies in Matlab and VBA for Excel
- Modeled time series with regularized regressions and scenario simulations
Project Management Intern
zeb Consulting
- Prepared senior management presentations to guide an IT project in risk management
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Education (6.5 years), Manufacturing (2.5 years), Information Technology (2.5 years), Banking and Finance (0.5 years), and Professional Services (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Business Intelligence (6 years), Finance (4.5 years), Research and Development (4 years), Information Technology (3 years), Project Management (3 years), and Product Development (2 years).
Summary
Machine learning specialist with experience in commercial and academic projects. Main expertise lays in implementing AI projects in computer vision, time series, and NLP with the help of deep learning methods.
Skills
- Python
- Machine Learning
- Data Science
- Artificial Intelligence (Ai)
- Deep Learning
- Neural Networks
- Data Wrangling
- Time Series
- Git
- Bash / Cli
- Linux
- Docker
- Computer Vision
- Nlp / Llms
- Pytorch
- Tensorflow
- Scikit-learn
- Huggingface
- Matlab
- Sql
- Econometrics
- Statistics
- Causal Inference
- Oop
- Ms Office
- Api
- R
- Excel / Vba
Languages
Education
Nova SBE
PhD, Econometrics · Econometrics · Carcavelos, Portugal
Nova SBE
MSc, Finance · Finance · Carcavelos, Portugal
WU Vienna
BSc, International Business Administration · International Business Administration · Vienna, Austria
Certifications & licenses
Data Science Bootcamp
Lisbon Data Science Academy
Profile
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