I am versatile and experienced Data Analyst with broad practical knowledge in Machine and Deep Learning algorithms.In my professional career of over 10 years, I dealt with various types of data: audio, image, video and biomedical; and developed techniques and algorithms for their analysis. I built and deployed machine learning systems into production. Also, I developed novel techniques and source codes for Video surveillance and Object tracking.I was a collaborator on many projects with multidisciplinary teams (biologists, medical doctors and staff, civil and environmental engineers), where I was responsible for: planning the projects from beginning to the end; proposing, developing, and implementing data analysis, machine learning, and statistical algorithms; proposing and developing experimental protocols; writing papers and reports; presenting results at invited lectures, conferences, and meetings.For all biomedical engineering projects I worked on, I performed the following: developed the experimental set-up, wrote and submitted human subjects research protocols to the institutional review board; conducted the experiments and collected the data; analyzed data; wrote manuscripts and reports with obtained results; presented results and conclusions at meetings, conferences and invited lectures.I co-authored 2 patents (1 is granted, 1 is submitted).Key skills:- Proficient in using Data Processing and Machine Learning Python libraries and frameworks (numpy, pandas, scikit-learn, TensorFlow, Keras, PyTorch)- Proficient in Data manipulation languages (postgreSQL, mySQL)- Working knowledge of relational databases (SQL), and graph databases (Neo4j)- R, MATLAB, Gephi, Knime, SPSS- Strong analytical skills- Eager to learn new technologies- Team-player- Excellent communication skills to explain data science concepts and applications to both technical and non-technical audiencesConnect with me via email: natasa.reljin@gmail.com