PhD. Computational Astrophysics from George Mason University.
MS. Applied Mathematics and Physics from Moscow Institute of Physics and Technology.
Hawkeye 360
Analytics Engineer
June 2017 - Present
- Implemented geolocation algorithms based on satellite data.
- Developed algorithm for radio spectrum mapping and signal classification.
- Performed spectral-timing analysis of high time resolution data from X-ray astronomical sources.
- Developed calibration software for X-ray data analysis.
- Maintained various catalogs and scintific data products.
- Developed the instrumental response for the Proportional Counter Array on-board NASA’s RXTE astrophysical mission.
- • Applied analytical models to data and identified cross-domain correlations and identified signatures, useful in determining the object type and the mass of compact relatistic astrophysical objects.
Skills
- Analysis of large multidimensional data sets.
- Data processing and analysis, data modeling, regression analysis
- Statistics and Probability: hypothesis testing, detection significance
- Time series analysis: search for periodicities, correlations, Fourier techniques
- Programming: Python (numpy,scipy, matplotlib, pandas, astropy), FORTRAN, Linux/UNIX
- Data Visualization: matplotlib, seaborn, gnuplot, pygal, bokeh
- Scientific software development: data reduction, calibration and pipeline processing
- Scientific writing and publishing (Latex,GNUplot,matplotlib,sphinx)
- Astrophysical data analysis: spectroscopy, imaging and variability
- Version coltrol: Git
Data Science Portfolio
One look is worth a thousand words. See my data science projects and visualization.
View PortfolioMy Astronomy Research Highlights
Click on the images to learn about results from astronomy projects I worked on:
Weighting Black Holes
Smallest Black Hole
Variability in the Crab Nebula
