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Hi, I’m Nicolas Cozzi. I’m a statistician with hands-on experience in data engineering for finance, machine learning for financial risk, and business analytics. I’m proficient in building end-to-end data pipelines, applying supervised and unsupervised learning, and communicating insights to stakeholders. I enjoy collaborating with cross-functional teams to drive data-driven decisions and scalable analytics solutions. I recently moved to Zurich on a B permit and am excited to further grow in my analytics career, contribute to ambitious projects, and continue delivering high-quality data products and analyses in a dynamic environment.…Hi, I’m Nicolas Cozzi. I’m a statistician with hands-on experience in data engineering for finance, machine learning for financial risk, and business analytics. I’m proficient in building end-to-end data pipelines, applying supervised and unsupervised learning, and communicating insights to stakeholders. I enjoy collaborating with cross-functional teams to drive data-driven decisions and scalable analytics solutions. I recently moved to Zurich on a B permit and am excited to further grow in my analytics career, contribute to ambitious projects, and continue delivering high-quality data products and analyses in a dynamic environment.

Nicolas Cozzi

Data Scientist, Full Stack Developer, Back-End Developer, +1

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Hi, I’m Nicolas Cozzi. I’m a statistician with hands-on experience in data engineering for finance, machine learning for financial risk, and business analytics. I’m proficient in building end-to-end data pipelines, applying supervised and unsupervised learning, and communicating insights to stakeholders. I enjoy collaborating with cross-functional teams to drive data-driven decisions and scalable analytics solutions. I recently moved to Zurich on a B permit and am excited to further grow in my analytics career, contribute to ambitious projects, and continue delivering high-quality data products and analyses in a dynamic environment.…Hi, I’m Nicolas Cozzi. I’m a statistician with hands-on experience in data engineering for finance, machine learning for financial risk, and business analytics. I’m proficient in building end-to-end data pipelines, applying supervised and unsupervised learning, and communicating insights to stakeholders. I enjoy collaborating with cross-functional teams to drive data-driven decisions and scalable analytics solutions. I recently moved to Zurich on a B permit and am excited to further grow in my analytics career, contribute to ambitious projects, and continue delivering high-quality data products and analyses in a dynamic environment.

Available to hire

Hi, I’m Nicolas Cozzi. I’m a statistician with hands-on experience in data engineering for finance, machine learning for financial risk, and business analytics. I’m proficient in building end-to-end data pipelines, applying supervised and unsupervised learning, and communicating insights to stakeholders. I enjoy collaborating with cross-functional teams to drive data-driven decisions and scalable analytics solutions.

I recently moved to Zurich on a B permit and am excited to further grow in my analytics career, contribute to ambitious projects, and continue delivering high-quality data products and analyses in a dynamic environment.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Spanish; Castilian

Fluent

German

Intermediate

Work Experience

Data Scientist at Bank for International Settlements (BIS)

August 1, 2025 - November 5, 2025

Short-term contract supporting processing of microeconomics data; refactoring, optimization, and integration of end-to-end solutions for Financial Conditions Index calculations; supporting research on credit spread regressions; data quality assessment for new contracts and ingestion; tools include Python, Matlab, Bloomberg, and Microsoft SQL.

Data Engineer at KBC Bank & Verzekering

April 30, 2025 - April 30, 2025

End-to-end development of multiple ETL pipelines processing hundreds to billions of records for consumer feeds (PySpark); integration testing; migrated datasets from on-prem to AWS S3; created and documented 20+ datasets for customer/proﬁling data science; coordinated GDPR adaptations for 100+ pipelines; optimized Airflow DAGs and monitored resource usage with AWS Grafana.

Financial Risk Analyst at KBC Bank & Verzekering

July 31, 2023 - July 31, 2023

Built a statistical/ML model for detecting outliers in implied volatility data; led model validation of a ML-based stock picker for portfolio allocation; developed an ESG risk measuring tool for the largest 30 investment funds; performed data quality analyses for selecting among major ESG data providers.

Budget Analyst / Advisor at Ministry of Finance

August 31, 2020 - August 31, 2020

Part of DIPRES unit focused on centralizing and optimizing inefficiencies in Real Estate budget; organized database and analyzed the State’s real estate leasing portfolio; developed strategies to optimize space usage and fiscal burden; estimated impact of approximately US $1,000,000 in fiscal savings in the first year.