Bijay Shrestha Email and Phone Number

As a Ph.D. candidate at CERN, my expertise lies in experimental high-energy physics and data analysis techniques. My role as a graduate research assistant allowed me to hone my skills in big-data analysis and statistical modeling, as well as utilize Python and C++ to advance research objectives. - Professional Highlights: I conducted NIH-funded research for three years, resulting in the publication of a peer-reviewed journal article and an undergraduate thesis. In my graduate work, I conducted CERN-based research on the cost optimization of bjet triggers in the ATLAS multi-threaded environment. Additionally, I worked on legacy analyses for HWW analysis implementing Deep Neural Network (DNN) techniques, enhancing the precision and sensitivity of Higgs boson coupling. These findings from these projects have been documented in numerous publications. Alongside my research, I have gained valuable teaching experience and have been recognized for my contributions.- Competencies: Theoretical and Computational Physics, Python (Pandas, Keras, TensorFlow, numpy, Scipy, sklearn, matplotlib, seaborn), C++, SQL, noSQL, Tableau, Docker, LaTeX, FORTRAN, Java, Gitlab, Mathematica, Molecular Dynamics Packages (VMD, GROMACS, VOTCA), CERN frameworks (ROOT, CAF).