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Sagar Adhikari, PhD 

Data Scientist | ML Engineer| Astrophysicist | Researcher 

Featured Projects 

  • ML Classifications of Fermi-LAT Blazars: Achieved >90% accuracy using XGBoost for classifying astrophysical sources.
  • Stock Market Forecasting: Built models to predict S&P 500 trends, comparing statistical and ML approaches.
  • Image Style Transfer with TensorFlow: Implemented VGG19-based neural style transfer for artistic image transformations.
  • View All Data Science Projects

    Current Research Focus 

  • AGNs: I am currently conducting research on the long-term variability on the multiwavelength Blazar emission to constrain the binary SMBH models.
  • Impact of gaps in the periodicity analysis: I am interested in exploring the impact of gaps in a light curve in the periodicity analysis. Specifically, I am studying the detection of false periods in a random timeseries data when various amount of gaps are introduced randomly.