Schlagworte
Skills
- Efficient and scalable implementation of computation intensive algorithms
- Time series analytics
- Stock market analytics
- Deep learning
- Numerical stable implementations
- Bayesian optimization
- Optimization and analytics of high dimensional non-linear data
- Presentation, visualization and documentation of complex tasks, calculations in a comprehensible way
- Process automation
- Verification of correct implementation of complex algorithms
- Working in a research environment
- Reinforcement learning (education in the research lab IAS Darmstadt @ TU Darmstadt)
- Multi-armed bandits
- Model predictive control
- Probabilistic modelling
- Up to date to current research
- Feature extraction/creation
- Clustering algorithms
- Classification algorithms
- Git / versioning
- PyTorch
- Numpy
- Scikit-learn
- SciPy
- Pandas
- Pyro
- Stan
- Python
- FastAPI
- Docker
- Postgres
- SQL
- Tensorflow/ Tensorflow Probability
- Terraform
- Google Cloud
- Working as a quant analyst / machine learning scientist for a privately managed fund
- Build an automatized stock analytics algorithm that detects anomalies in real time and sends reports immediately (Never crashed since 1 1/2 years and consistent return rates)
- Solved a non-linear optimization task using latest deep learning architectures for a research project to optimize the ideal setting of LED lamps given
- Working with robotics data and optimization/control using classic control algorithms or reinforcement learning methods
- Twitter real-time sentiment analysis
- Several data pipeline projects with distributed processing and data provisioning via Rest API access
- Working mostly on projects with time series data.