Physics-trained data scientist teaching machines to handle messy, imbalanced, real-world scientific data—where accuracy tables lie and robustness matters.
MSc Data Science (DePaul University, June 2026) · BSc Physics, Minor in Applied Mathematics (NEIU, May 2021)
🔍 Currently: Actively interviewing for data science / ML engineering roles · Exploring PhD programs in astrophysics (data science × nuclear astrophysics)
🔬 Research Interests: Deep learning applications in astrophysics — NEO hazard classification, nuclear fusion prediction in stars, and model robustness under measurement uncertainty.
Jan – Mar 2026
Asteroid hazard classifier built with SMOTE and gap-penalized loss on a heavily imbalanced dataset (12.7% positive rate). Engineered orbital features validated via K-Means clustering, achieving 2.3× enrichment of hazardous classes.
Sept – Nov 2025
ARIMA and Fourier harmonic regression to detect transits in Kepler light curves, with robust MAD dip detection outperforming classical thresholds on confirmed hosts vs. controls in a case-control design.
Sept – Nov 2025
EfficientNet-B0 CNN fine-tuned for 10-class galaxy classification on 17,736 DECaLS images via transfer learning and weighted loss — 83% test accuracy vs. 15% for classical baselines.
Apr – Jun 2025
MLP, logistic regression, and decision trees compared across six Gaussian noise levels using 5-fold CV. Key finding: peak clean-data accuracy is a misleading model selection metric for noisy scientific data.
Core stack: Python · R · SQL · PyTorch · scikit-learn · Pandas / NumPy · Docker · AWS / Azure
Also working with: JavaScript / React · OpenCV · Albumentations · SciPy · ggplot2 · forecast · Jupyter · Tableau · LaTeX · Git
📚 Math and Physics Tutor · Malcolm X College · Nov 2024 – Present
Developed data-informed learning frameworks, delivering workshops on quantitative and statistical methods to students of varying technical fluency.
⚙️ Electro-Mechanical Survey Technician · Argonne National Laboratory · Feb – Sept 2023
Managed QA data for 700+ magnet assemblies on the Electron-Ion Collider upgrade project, applying physics-informed diagnostics and building structured data pipelines for cross-team traceability.
💻 Full-Stack Software Developer · Revature · May – Sept 2022
Built predictive analytics modules and interactive data dashboards, deploying scalable Azure cloud solutions and React-based visualization interfaces for real-time decision-making.
- 🔭 I bring my telescope to local star parties and share the night sky through astrophotography
- 🎹 Piano, choir singing, art, and cooking
- 🎮 When I'm not stargazing: Metal Gear Solid, Kingdom Hearts, and Final Fantasy
- 🚴♂️ Cycling Chicago's Lakefront Trail