NLP Research Engineer at NTT DATA | PhD in Natural Language Processing
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Assessing your cultural and operational fit
I am a data scientist and my main interests are at the intersection of natural language processing and deep learning from a practical point of view. I am pursuing my PhD related to Named Entity Recognition (NER) and Text Simplification in the Digital Humanities domain.
Universidad Nacional de Educación a Distancia (UNED)
PhD in Intelligent Systems, Natural Language Processing
August 1, 2019 – December 1, 2024
Universidad Nacional de Educación a Distancia (UNED)
Master Degree in Computer Systems and Languages, NLP
January 1, 2015 – January 1, 2018
Cloudera University
Cloudera Developer for Apache Hadoop (CCDH)
January 1, 2014 – January 1, 2014
Cloudera University
Big Data Real Time, Software Development
January 1, 2014 – January 1, 2014
University of Zaragoza
Industrial Electronic Engineer
N/A – Present
NTT DATA Europe & Latam
NLP Research Engineer
October 1, 2024 – Present
Zaragoza, Aragon, Spain · Hybrid
Nuclia • AI Search & RAG as a Service
NLP Research Engineer
March 1, 2024 – May 1, 2024
Remote
UNED - Universidad Nacional de Educación a Distancia (Spain)
PhD student at UNED
September 1, 2019 – December 1, 2024
Zaragoza, Aragon, Spain
everis
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Codex Deployment Practitioner
PartnerU
June 24, 2026 – Present
AI Technical Practitioner
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June 24, 2026 – Present
Claude Code in Action
Anthropic
June 24, 2026 – Present
API Deployment Practitioner
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June 24, 2026 – Present
Programa Especializado - Deep Learning
Coursera
June 24, 2026 – Present
IBM Certified Application Developer - Watson V3 Certification
IBM Professional Certification
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards NLP, AI Research, and Machine Learning, with a strong academic foundation. While this demonstrates deep specialization, the target role is 'Data Analyst'. This suggests a potential mismatch in focus, as a Data Analyst role typically requires strong statistical analysis, data visualization, and business intelligence skills, which are not explicitly highlighted in the provided experience descriptions. The breadth of projects is primarily within AI/NLP domains, which might limit immediate cultural fit for a pure data analysis team without a strong AI/ML component.
Soft Skills & Operational Fit
The candidate's experience in leading innovation initiatives and collaborating on research projects suggests strong problem-solving and teamwork skills. The pursuit of a PhD while working indicates dedication and self-motivation. However, specific details on communication style, stress handling, or direct team collaboration from the provided data are limited.