VisionEvery business that desires to derive insights from data, should be able to do so -- I'd like to help. My
rates depend on the service offered. If interested, please contact me with an overview of your project and
your meeting preferences.
Work Experience Data Science Consultant with over 10 years of experience developing analytics solutions for companies in IoT, healthcare, market research, online advertising and remote sensing and working as a liaison between the technical and business/clinical stakeholders to solve business problems.
University of California, Los Angeles
Ph.D., M.S. in Statistics
B.A. and S. in Statistics and Economics, Minor in Mathematics
- PhD thesis proposed a new dimension reduction
technique called Tensor Independent Component Analysis (TICA) that
reduces the volume and noise in high dimensional data sets (which data
sets are best represented by 3D, 4D, etc. objects, not matrices). One application of the methodology developed is remote sensing, where
observations are described by longitude, latitude and wavelength. We
focus on analyzing remotely sensed multispectral images of the White
Oval on Jupiter (captured by the Hubble Space Telescope and the Infrared
Telescope Facility). TICA uncovers similarities in temperature
gradients between the White Oval and the Great Red Spot.
- Spatial statistics: Project 1 (2008), Project 2 (2009)
- Nonparameteric statistics and remote
sensing: Project (2009), PhD thesis (2012)