Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0


Pet projects (data science field):
Human Microbiome Studies: Developed a model that diagnose or predict disease risk in humans using machine learning tools. 
•	Analyzed data using Natural Language Processing (NLP) tools.
•	Applied Linear Discriminant Analysis (LDA) to reduce dimensionality.
•	Calculated feature importance that provide insight into the dataset.

Biometric Person Identification by Iris Recognition: Developed a person identification model based on iris database using machine learning tools. 
•	Detect human iris on a photos using Python libraries OpenCV, SciPy, and Scikit-Image.
•	Compared performance of two-dimensional discrete Fourier transform, two-dimensional discrete cosine transform, and two-dimensional wavelet transform.
•	Compared accuracy of K Nearest Neighbor (KNN), Gradient Boosting (GBC), Logistic Regression, Linear Discriminant Analysis (LDA) and other classifiers.

Visualization of COVID-19 pandemic data: Created a MATLAB application that processes and visualizes COVID-19 pandemic data (obtained from the Coronavirus Resource Center at the Johns Hopkins University).