My Work
Image captioning
Model to generate the captions for a given image
- Python
- Pytorch
- Resnet50
- Embeddings
- LSTM
Spine lesion classification
Bachelor thesis on class prediction with the data provided from the Oncological Institute of st.Elisabeth in Bratislava
- R language
- Random Forest
- Logistic Regression
- Support Vector Machines
Skin cancer classification
Image class prediction between malignant and benign skin cancer using CNN
- Python
- Pytorch
- CNN
Fake news detection
Classifier of news into true or fake
- Jupyter notebook
- Pytorch
- Bag of Words
Shiny web app for prediction
Web application in r shiny with built-in random forest model for predicting the class of a lession in the spine
- R language
- R shiny
Binary classification using neural network
Class classification project with the data provided from the Oncological Institute of st.Elisabeth in Bratislava
- Python
- Neural Network
- Numpy
Discrete event systems simulation
Simulation of production system composed of a one-place buffer followed by the series interconnection of two machines
- Matlab
- Stochastic state and timed automaton
- Markov chain
- Steady state analysis
Instacart purchase prediction
Kaggle competition with the objective to predict which previously purchased products will be in a users next order
- Big data
- Jupyter notebook
- Pandas
- XGBoost
K-means parallel computing
K-means algorithm parallelized using GPU for better performance
- C++
- Cuda
Snake game
Implementation of the retro snake game
- C++
- Object oriented programming
References
Achievements
About Me
Hard-working, flexible, detail-orientated and responsible master's degree student of Artificial Intelligence in Siena currently based in Bratislava, Slovakia. Implementing IT in medical field along with data science is my passion. During my previous education and project opportunities I have gained organizational skills, a better sense of time management as well as the ability to work under pressure.
My Resume
