TAMARA KATIC
adh75d@r.postjobfree.com github.com/tamarakatic linkedin/tamarakatic
Technical Skills
Languages: Python, Ruby, C#, Java, JavaScript
Technologies: Keras, PyTorch, TensorFlow, scikit-learn, OpenCV, Neo4j, .NET, PostgreSQL, SQL Server, Git
Education
Temple University Philadelphia, PA, USA
• PhD, Machine Learning and Data Science 08/2019 - 06/2024 Faculty of Technical Sciences Novi Sad, Serbia
• MSc, Intelligent Systems 09/2017 - 06/2019
Faculty of Technical Sciences Novi Sad, Serbia
• BSc, Applied Computer Science 09/2013 - 07/2017
Work Experience
Temple University Philadelphia, PA, USA
• Teaching and Research Assistant 08/2019 - Present Faculty of Technical Sciences Novi Sad, Serbia
• Research Scientist 11/2017 - 06/2019
SmartCat Novi Sad, Serbia
• Data Science Intern 03/2019 - 06/2019
Vega IT Sourcing Novi Sad, Serbia
• Software Engineer 08/2017 - 11/2017
LLC Schneider Electric DMS NS Novi Sad, Serbia
• Research for graduate thesis: "Service Fabric as a microservices platform” 03/2017 - 07/2017
Projects
• Generate Radiology Annotations: Generate annotations from radiology reports. (Python, pandas, PyTorch, BERT, fastText)
• Predicting Patient Survival of ICU: Predicting patient survival based on the first 24 hours of ICU. (Python, pandas, xgboost, catboost, scikit-learn)
• Sentiment Analysis of Drug Reviews: Sentiment analysis of drug reviews using a machine learning approach.
(Python, pandas, AllenNLP, PyTorch, spacy, scikit-learn)
• GitHub Users Distance: Finding distance between GitHub users and showing this result on the graph. (Python, pandas, Neo4j)
• Sentiment Analysis of Amazon Reviews: Solving classification problem for sentiment polarity of Amazon product reviews. (Python, pandas, Keras, scikit-learn, Word2Vec, Doc2Vec, GloVe, ConvNet, LSTM)
Certifications
• ACL Conference Volunteer (2020)
• ICML Conference Volunteer (2020)
• Machine Learning course by Stanford University on Coursera (2018)
• Deep Learning A-Z™: Hands-On Artificial Neural Networks course on Udemy (2018)
• Web Summit Conference Volunteer (Lisbon, 2017)
• Recipient of Ministry of Education, Science and Technological Development Scholarship (2014/15/16/17)
Publication
• Comparing Sentiment Analysis and Document Representation Methods of Amazon Reviews (IEEE, 2018)