JANELLE M. SY
(951) 452-5458 ⋄ New York, NY ⋄ janellemsy@outlook.com ⋄ github.com/janellemsy
OBJECTIVE
Recent Masters in Physics graduate with 4+ years of experience using Python to conduct complex computational
projects and analyze big data, seeking full-time roles in data science and data analysis.
SKILLS
Languages Python, SQL, R
Technical Skills Numpy, Matplotlib, Jupyter Notebook, SciKit, Scipy, Unix/Linux, Git, Microsoft Excel,
Microsoft Powerpoint, Microsoft Word, Overleaf
EDUCATION
New York University 2021 - 2023
Masters of Science - Physics
Relevant Coursework: Statistics and Data Science, Graduate Level Computational Physics
California State Polytechnic University, Pomona 2017 - 2021
Bachelors of Science - Physics
Relevant Coursework: Linear Algebra, Calculus, Differential Equations, Computational Physics
EXPERIENCE
Research Assistant May 2022 - May 2023
New York University New York, NY
• Utilized Python to analyze large datasets consisting of 10,000 galaxies from the Sloan Digital Sky Survey,
identifying key trends and patterns to inform research on galaxy formation and evolution.
• Employed data cleaning, transformation, and visualization techniques to streamline analysis.
Student Researcher Fall 2019 - Spring 2021
California State Polytechnic University, Pomona Pomona, CA
• Implemented Python to perform ultraviolet spectroscopy analysis of an X-ray binary system using observations
from the Hubble Space Telescope.
• Utilized Matplotlib to plot characteristic emission lines, track the motion of the binary’s donor star, and calculate
its radial shift and black hole mass. Results were published in The Astrophysical Journal, a top peer-reviewed
journal.
Summer Undergraduate Research Fellowship (SURF) Scholar Jun 2020 - Aug 2020
University of California, Irvine Irvine, CA
• Analyzed observational astronomy data from the Atacama Large Millimeter Array in Python and implemented
a gas kinematic model to produce a robust and reliable supermassive black hole mass estimate in the galaxy
NGC 4786.
• Implemented MCMC optimization techniques by adapting and utilizing existing code to fit the gas kinematic
models, resulting in significantly improved fits to data.
• Communicated results at the 237th Meeting of the American Astronomical Society, a national conference at-
tended by leading researchers in the astronomy field.
CERTIFICATIONS
Google Data Analytics Professional Certificate in progress
Google
• Proficient in data cleaning, computation, and visualization for analysis, utilizing Google Sheets, SQL, R pro-
gramming, and Tableau
