Gema Chercoles
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Business school with consulting area. Responsible for Artificial Intelligence and Data projects, support in academic and logistics areas.
Matemática, creativa, organizadora nata. Me apasiona la inteligencia artificial y he cumplido mi objetivo de crear y dirigir un área que cubre todo el ciclo de vida del dato, con equipos de datos multidisciplinares, fomentando la colaboración entre las unidades técnicas y del negocio para maximizar el impacto. En tres años nos hemos convertido en un equipo tecnológico de muy alto nivel, con un discurso diferente e innovador en el mercado.
EAE Business School
Executive MBA, Administración y gestión de empresas
June 1, 2021 – June 1, 2024
Udacity
Machine Learning Engineer. Nanodegree Program, Inteligencia artificial
June 1, 2020 – August 1, 2020
Coursera
Especialización, Deep Learning
January 1, 2017 – January 1, 2018
Stanford University
Machine Learning
January 1, 2017 – January 1, 2017
Escuela de Emprendedores Jung & Project
Programa de Mentoring Éxito - Emprende
January 1, 2013 – January 1, 2014
Universidad Complutense de Madrid
Máster en Ingeniería Matemática
January 1, 2004 – January 1, 2005
UNSW
General Proficiency English y Curso de Traducción e Interpretación.
January 1, 2003 – January 1, 2004
Universidad Autónoma de Madrid
Licenciatura en Ciencias Matemáticas
January 1, 1992 – January 1, 1998
AthenAI Institute of Technology
CCO (Chief Consulting Officer)
November 1, 2025 – Present
Madrid, Comunidad de Madrid, España · Hybrid
Axpe Consulting
Directora del área de Inteligencia Artificial y Dato
November 1, 2021 – July 1, 2025
Madrid, Comunidad de Madrid, España · Hybrid
Accenture
Gerente en Data Analytics & Artificial Intelligence, especialista en Conversational AI
June 1, 2018 – November 1, 2021
Greater Madrid Metropolitan Area
Autónomo
Machine Learning Engineer
January 1, 2017 – May 1, 2018
Greater Madrid Metropolitan Area
Stand OUT Program Education
Co Director áreas Académica y Logística
January 1, 2015 – January 1, 2016
Freelancer
Productos de Neuro Educación
January 1, 2013 – January 1, 2015
Telefónica
(Freelancer) Jefe de proyecto / Consultor IT
January 1, 2008 – January 1, 2011
Greater Madrid Metropolitan Area
Mobilisten
Responsable del portal internet Mobilisten.
January 1, 2006 – January 1, 2007
Greater Madrid Metropolitan Area
mmCHANNEL
Equipo de Producto/Desarrollo
January 1, 2005 – January 1, 2006
Greater Madrid Metropolitan Area
BBVA
Aplicación de matemática financiera dentro de Banca Mayorista y de Inversiones:
January 1, 2003 – January 1, 2004
Madrid
PwC Consulting/IBM Global Services
Consultor Senior
January 1, 2000 – January 1, 2003
Madrid - Barcelona - Tarragona
Europa Management Consulting (today Atos Consulting)
Consultor
January 1, 1998 – January 1, 2000
Madrid - Barcelona
Machine Learning Engineer. Nanodegree Program
Udacity
June 24, 2026 – Present
AI For Everyone
Coursera
June 24, 2026 – Present
EF SET English Certificate 72/100 (C2 Proficient)
EF SET
June 24, 2026 – Present
Programa Especializado - Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning
Standford University
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a blend of deep technical expertise, strategic leadership, and entrepreneurial spirit. Their involvement in educational initiatives (AthenAI Institute, Stand OUT Program) and research in Neuro Education indicates a passion for knowledge sharing and innovation. The diverse project experience across various industries (finance, telecom, public administration, healthcare) and roles (consultant, project manager, director) suggests adaptability and a broad perspective, which could contribute positively to a dynamic and evolving work culture. However, the recent focus on high-level strategic and educational roles might require re-evaluation of hands-on technical contribution expectations for a pure ML Engineer role.
Soft Skills & Operational Fit
The candidate's experience in creating and leading highly specialized, multidisciplinary teams with low turnover suggests strong leadership, communication, and team collaboration skills. Their involvement in defining career paths and participating in recruiting further highlights their operational fit for roles requiring talent development and strategic planning. The description of managing client relationships and aligning technical solutions with business needs indicates strong stakeholder management and business acumen.