Data science professional bridging physics domain expertise with machine learning engineering. MSc in Data Science (DePaul) and BSc in Physics with Applied Mathematics (NEIU). Built predictive models, deployed cloud-based analytics apps, and managed QA data across 700+ assets at Argonne National Laboratory. Currently seeking data science roles where interdisciplinary problem-solving drives measurable impact.

🎓 MSc Data Science (DePaul, 2024–2026) | BSc Physics + Applied Mathematics (NEIU, 2015–2021)

🔬 Research Interests: Deep learning applications in astrophysics: NEO hazard classification, nuclear fusion prediction in stars, and model robustness under measurement uncertainty.

🔭 What's Next:

• Actively interviewing for data science / ML engineering roles
• Exploring PhD programs in astrophysics (data science × nuclear astrophysics)
• Expanding horizons at the intersection of astrophysics and data science

• ☄️ Comparative ML for NEO Hazard Classification | Jan – Mar 2026
  Built an asteroid hazard classifier using SMOTE and gap-penalized loss on a highly imbalanced dataset (12.7% positive rate). Validated engineered orbital features via K-Means clustering, achieving 2.3× enrichment of hazardous classes.

• 🌌 Galaxy Morphology Classifier | Sept – Nov 2025
  Fine-tuned an EfficientNet-B0 CNN for 10-class galaxy classification on 17,736 DECaLS images using transfer learning and weighted loss, reaching 83% test accuracy vs. 15% for classical baselines.

• ✨ Stellar Classification Comparative Analysis | Apr – Jun 2025
  Compared MLP, logistic regression, and decision trees across six Gaussian noise levels using 5-fold CV. Found that peak clean-data accuracy is a misleading model selection metric for noisy scientific data.

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• 📚 Math & 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.

• 💻 Remote 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 share my passion and understanding of the night sky by bringing my telescope, which I use for astrophotography, to local star parties.
• I enjoy playing the piano, singing in a choir, doing art, and cooking.
• When I'm not stargazing, you'll find me playing Metal Gear Solid, Kingdom Hearts, and Final Fantasy.