Dan Ovadia
Data Scientist
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolDan Ovadia is a data scientist and engineer with 10 years of experience building scalable data pipelines, geospatial models, and risk analytics primarily for the P&C insurance industry. Based in Los Angeles, he blends Python/R proficiency and cloud tooling (GCP, Docker, Spark) with domain expertise in catastrophe modeling (RMS, AIR) to turn weather and exposure data into actionable underwriting insights. He has a track record of migrating legacy VBA/Excel workflows to robust Python and SQL-based platforms, designing ETL and API layers that enable portfolio-level time-series monitoring and automated reporting. Passionate about resilience, Dan focuses on concentration risk, geospatial clustering, and integrating public weather data to improve pricing and mitigation strategies. Beyond modeling, he’s comfortable shipping production services (FastAPI, Docker) and GIS integrations (GeoPandas, ArcPy, PyQGIS), reflecting a practical blend of research, software engineering, and actuarial thinking.
10 years of coding experience
3 years of employment as a software developer
University of California San DiegoData Science Immersiv, Data Science Immersiv at General Assembly
English, Hebrew
Github Skills (4)
heroku2
google-cloud-storage1
plotly1
gcp1
Programming languages (2)
Github contributions (5)
DanOvad/covid-hotspots
Jun 2020 - Sep 2020
Coronavirus dashboard using data from the NYT and the Atlantic. The dashboard is deployed to Heroku using Dash and Plotly. The data are processed daily using GCP Cloud Functions and hosted on Google Cloud Storage.
Contributions:6 PRs, 47 pushes, 5 branches in 2 months
gcpgoogle-cloud-storageherokuplotly
DanOvad/DanOvad.github.io
Jun 2020 - Sep 2020
Contributions:52 pushes, 1 branch in 2 months
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