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Nariman Maddah

Nariman Maddah

Lead data scientist

Zurich Insurance Group | Zurich

Technologies

My Portfolio Highlights

My New Track

Python Fundamentals

My New Course

Introduction to Python

My New Track

Python Fundamentals

Champion of data ethics, navigating the fine line between insights and privacy.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Introduction to Python

course

Intermediate Python

course

Data Manipulation with pandas

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Data Manipulation with pandas
Understanding Data Engineering

My Work Experience

Where I've interned and worked during my career.

Swiss Re | Jan 2021 - Present

Senior Risk & Data Engineer

- Ingested, transformed, and curated supply chain big data in Azure and Palantir. Applied ML models to fill gaps and predict links in the supply network. - Collaborated with UC Berkeley to develop a business downtime propagation model, considering product dependencies and supply chain relationships. - Built comprehensive Python package for supply chain analytics suite, including mapping, risk insights, and probabilistic models for production loss quantification due to supplier disruption. Effectively communicated data-driven insights to diverse stakeholders, including C-level business leaders and developers. - Leveraged ML for precise entity matching with name, address, and geocodes in Azure & Palantir, accurately costing business interruption for a USD 1.3 bn annual premium portfolio. Led end-to-end model development lifecycle, adhering to best practices for reproducible research and software delivery. - Translated complex business problems into well-scoped projects, delivering timely outcomes in a fast-paced environment. - Mentored and elevated teammates, promoting open communication to share ideas with technical and non-technical audiences. - Developed geo-server in Azure with open-source data for global address geocoding, achieving ~5% improved coverage. Impact on property costing portfolios (~USD 5 bn total premium). - Patented system for unambiguous building identification and matching across large datasets at scale, setting new standard for Property data exchange. - Created geo data-lake with globally persistent identifiers and building attributes using patented Geo ID solution. - Developed and tested deep learning models for building risk feature extraction from satellite images, enhancing risk assessment and property pricing models.
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Zurich Insurance Company | Mar 2014 - Dec 2020

Senior Risk Engineer

- Developed global climate change GIS maps and interactive and modular features in Power BI to assess customer exposure to climate change impacts. - Developed advanced flood, wind, and earthquake models, utilizing public data and state-of-art-research to probabilistically estimate loss potentials at commercial and industrial facilities. These models have significantly enhanced risk assessment, enabling data-driven decision-making and optimized risk management strategies. - Formulated compelling propositions for natural hazard services, driving a 25% increase in service requests and CHF 300k new risk engineering businesses in the last two years. - Conducted risk assessments for over 40 commercial and industrial sites, delivering executive reports for non-technical audiences. - Cultivated strong customer partnerships, gaining trust in deploying mitigation strategies for increased natural hazard resilience (over 80% completion rate). - Coordinated technical standards development and led internal and external training and workshops to enhance risk awareness and streamline risk selection and pricing.

MONOD-PIGUET + ASSOCIES Ingénieurs Conseils SA | Jan 2013 - Aug 2013

Structural Engineer

Conducted detailed modeling and analysis of a challenging arc bridge with a 125-meter span, the second largest railway bridge in Switzerland. Calculated load levels and ensured compliance with industry standards.

EPFL | Nov 2008 - Dec 2012

Research Assistant

Developed Monte-Carlo traffic simulation software and recommended a simple yet accurate analytical method to verify design life of bridges, which was adopted in the Swiss standards.

My Education

Take a look at my formal education

PhD in Structural EngineeringEPFL | 2012

About Me

Nariman Maddah

As an adept data engineer with a strong background in AI/ML product development and practical application, I specialize in delivering innovative end-to-end model solutions that meet real-world challenges.

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