Position: Data Scientist / Quantitative Developer / ML Engineer
Category: Data Science
English level: upper
Years of experience: 2


- Machine Learning Researcher

I've fully done a project with automatic heart disease detection on an ECG. Starting from data preparation, various Digital Signal Processing techniques for useful information extraction, pipelines for model training, train process monitoring, and validation. This work resulted in a scientific paper. Used PyTorch, PyTorch Lightning, scikit-learn, TensorBoard, numpy, pandas.


- Quantitative Researcher 

Was a part of a small team, that was building a trading model for an exchange. A lot of statistics, post-analytics, building pipelines for hyperparameters optimizations, training many models in parallel and validating them. Also was writing C++ code, where latency was crucial. Keras, TensorFlow, numpy, pandas, C++.
I am looking for ML/DL research position. I would rather work either in the finance sector or in the scientific mixed domain.