Data Scientist
Current• Develop machine learning models for predictive analytics, improving business performance and forecasting accuracy.• Performing data analysis and pre-processing for machine/deep learning methods.• Conducting research and analysis using structured and unstructured data types.• Implementing machine learning models like multilayer perceptron, random forests, regression, and• boosting methods.• Implementing cutting-edge deep learning models, especially convolutional neural networks and recurrent neural networks.• Conducting experiments with large language models, especially GPT, BLOOM, and variants of BERT.• Implementing new deep learning methodologies to solve data privacy issues and developing a prototype to be used by Know-Center.• Working on TRUSTS, a Horizon 2020 project, with companies from many European countries,• developing privacy-preserving methods.• Extensive programming with Python, R, or C++ for data analysis, data cleaning, data visualization, and implementing models.• Conducting research on privacy-preserving natural language processing.• Writing scientific papers and project reports.• Collaborate with cross-functional teams.
