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New project 

QUANT AI Lab

My team builds fraud detection systems with low latency, on data with big volume & velocity. Accompany the client in building the ML system.
My roles involve consulting, data science, ML engineering, and leading a small, brilliant, team.

Senior Data Scientist - Project Lead

M47 Labs

Helping ML come to life when you talk to a machine

Machine Learning Engineer 

Zurich Insurance Company Ltd

Helping build a portfolio of ML products in a great team: from data to cognitive service as efficiently as possible. 
Cloud, DevOps, big data & ML. Plenty of fun juggling all these hats so the client doesn't need to.

Machine Learning Engineer

Sopra Steria Next

Fraud detection in Public Administration (fiscal) & Insurance / Health sector - survival models, classifiers ... (python ML stack, orchestration, microservices API
NLP robots to help migrate large volumes of legacy source code (COBOL, DB2, JCL)

Senior Data Scientist - Team Lead

2C Consulting

Anti-Money Laundering project for a major bank: supervised and unsupervised algorithms to identify suspicious activity (Hive/Sqoop, python, R)

Data Scientist consultant

Grupo Garatu

ERP focused on Gas & Energy markets
Modelling Natural Gas demand at several horizons. Datamart
B2B communications: eg banking (ISO 20022, SEPA), CNMC energy standards
Full-stack developer (C#, SQL + LINQ, MVC, JavaScript)

Analyst Developer (C# full stack, SQL, energy)

Lantalde

Computer vision project, industrial CNC context (C++, OpenCV): low latency, concurrency

Analyst Developer (C++ low latency, computer vision)

Sabbatical leave

Studied 48 academic credits (ECTS) of a university Master in Mathematical and Statistical modelling
Information & Network security (420 hr + 200 hr practicum)

Student

Crèdit Andorrà

Sr Investment Manager / Quant

Looking for action where Cloud, ML and client meet

+ Cloud or on-prem, where do you need it?
+ Data Science: from data to information you can act on
+ ML & cognitive services: ask your data
+ Project management: hub between data & client
+ Quant models - once a quant, always a quant: help you find the right questions to ask

Cloud: Azure, GCP,  DevOps ... infra as code is powerful
ML: Python, Spark, R
Quant developer: C++, python 
Full stack dev: C# + SQL (LINQ, MVC, RAZR + JavaScript)
Functional approach helps reuse and sanity

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