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Research and Teaching Assistant at Temple University

Location:
Philadelphia, PA
Posted:
November 29, 2020

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Resume:

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)



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