About Me
I am experienced in building machine and deep learning models for R&D purposes. Python (pandas, scikit-learn, keras), SQL, Data Visualization (matplotlib, seaborn), Data Intuition, Linear Algebra, Statistics, Data Visualization, Machine Learning, Neural Networks, Time Series.
Education
Ariel University
2016-2021
PhD. Department of Electrical Engineering
Kyiv Taras Shevchenko University
2008-2009
Master’s Degree in Physics
Kyiv Taras Shevchenko University
2004-2008
Bachelor’s Degree in Physics
Work and Experience
Data Scientist
September | 2020 - October | 2021
Ben Gurion University of the Negev
– providing COVID-19 pandemic investigation by using SIR model
– development of algorithm for clinical recognition of lung diseases (such as asthma, COVID-19, bronchitis, etc.), based on respiration sound records
– creation of database of respiration records
Data Scientist
October | 2015 - October | 2021
Ariel University
– providing research using prediction models to augment GPS IWV estimations using spatio temporal cloud distribution extracted from satellite data, thus, improving existing methods
– providing research using Python, SQL, statistical and prediction models on big data sets to improve Weather Research and Forecast model predictions
– developing and using of prediction models
– providing signal analysis and prediction – prediction of the signal behavior using ARIMA method, Fourier and wavelet analysis
Data Engineer
October | 2013 - December | 2014
Dinamica Generale
– sensor data analysis
– embedded software developing
– preparing and delivering presentations based on obtained results
– providing and maintaining interdepartmental collaboration
– visually encoding data and communicating information and obtained results
Lead Engineer
July | 2009 - December | 2014
Space Research Institute
– pre- and post- processing of raw satellite data
– participating in developing and providing Ukrainian satellite projects “Potential” and “Ionosat”
– designing, developing and control of satellite experiment execution
– building mathematical models of actual physical processes