I am a Data Scientist with 8+ years of experience applying advanced analytics and AI to solve high-impact problems in the energy, geospatial, and insurtech sectors. I hold a PhD in Geophysics from Penn State, where I studied climate change impacts on Antarctic glaciers using geophysical and remote sensing methods—building a strong foundation in scientific research and data-driven problem-solving.
My expertise spans neural weather models, climate risk modeling, energy optimization, and urban infrastructure risk assessment—operating at the intersection of science, technology, and business strategy. I excel at transforming complex datasets into actionable insights through advanced geospatial analysis and machine learning.
My recent projects include climate transition risk assessment, flood hazard modeling, and geocoding precision optimization, delivering solutions that improve decision-making for insurers, energy companies, and urban planners.
I bring deep technical expertise in ML methods, and cloud platforms, enabling end-to-end AI deployment from prototype to production. Beyond technical delivery, I have led scientific strategy, multidisciplinary teams, and cross-functional collaboration to embed AI into core operations—bridging the gap between innovation and measurable business value.
Recent Highlights
- Wildfire Risk Reduction – Led spatial tracking and statistical modeling to optimize cloud seeding for lightning suppression in North America.
- Flood Hazard Modeling – Directed a multidisciplinary team integrating socio-economic, infrastructural, and meteorological data to map high-risk zones in NYC and Milan.
- Energy Optimization – Spearheaded predictive and reinforcement learning initiatives for drilling and fracking operations, achieving >5% cost savings and emissions reduction.
- Geospatial Accuracy Enhancement – Developed neural networks that improved geocoding accuracy by 10%+ across 100k+ locations.
I thrive in high-impact, agile environments where scientific rigor, innovation, and leadership come together to deliver strategically aligned, technically robust solutions.

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