About Me

Education:
Masters, Physics: University of Pittsburgh
B.S, Astronomy & Physics: University of Illinois at Urbana-Champaign


I'm an astrophysicist making a transition to the industry for the next chapter of my career. During my time in academia, I had the opportunity to work on a range of fascinating projects and develop a diverse set of skills, and I am excited to explore new opportunities and put my skills to use. I hope that my website provides you with a valuable insight into my experience and perspective.

Portfolio

Sephora Analysis
Investigating insights within Sephora's dataset using Python for data analysis. This project involves exploring trends and patterns, providing valuable insights into customer preferences.

DESI Spectra Analysis
Exploring the complexities of DESI spectra, where coefficients derived from various reduction methods, combined with two machine learning regression models, predict physical characteristics of DESI galaxies. Valuable for future DESI spectral analysis, this project provides a robust methodology for swift and accurate estimation of galactic properties.

Key Questions:

• What is the optimal number of PCA coefficients for accurate predictions?
• Comparing PCA and UMAP coefficients, which is more effective in predicting parameters?
• Which combination of coefficients and machine learning models yields the most precise predictions?

Community

Teaching:

Outreach:

Equity & Inclusion:

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