David Fernandez
Data AnalystAI 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
AI Specialist @ Google | Applied AI | xMicrosoft | Berkeley Alum
AI Solution Architect | 16+ Years of Experience in AI, ML, and Cloud Solutions Proven track record of designing and deploying AI and data solutions for Fortune 1 and Fortune 100 enterprises across North America, Europe, the Middle East, and Africa. With a strong scientific background in mathematics, I specialize in bridging cutting-edge AI research with real-world enterprise adoption. Expertise in cloud infrastructure, LLM-based applications, RAG implementations, forecasting models, and AI-driven automation. Passionate about Quantum Computing and its intersection with AI.
University of Sussex
Foundations of Quantum Computing
January 1, 2025 – June 1, 2025
UC Berkeley School of Information
Master of Information and Data Science (MIDS), Data Science
August 1, 2022 – May 1, 2024
Dale Carnegie Training
Dale carnegie immersion seminar
June 1, 2022 – June 1, 2022
MIT xPRO
Architecture of Complex Systems, Ingeniería
January 1, 2021 – January 1, 2021
Global Association of Risk Professionals (GARP)
FRM, Risks
January 1, 2013 – January 1, 2013
Afi Global Education
Executive Master - Quantitative Finance, Applied Mathematics
January 1, 2011 – January 1, 2012
Universidad de Oviedo
Bachelor and Master of Science, Mathematics, Statistics Specialty
January 1, 2004 – January 1, 2008
AI Specialist - Customer Engineer AI/ML - AI Natives ISVs
June 1, 2025 – Present
San Francisco Bay Area
Microsoft
Cloud Solution Architect - Technical Program Manager
November 1, 2021 – June 1, 2025
Microsoft
Data and AI Solution Architect
November 1, 2018 – November 1, 2021
Microsoft
Data scientist | IoT, machine learning & Big Data. EMEA
March 1, 2016 – November 1, 2018
EY
Manager at Big Data & Analytics Hub EMEIA
April 1, 2015 – March 1, 2016
Greater Madrid Metropolitan Area
IEB
Adjunct profesor
August 1, 2013 – March 1, 2014
Greater Madrid Metropolitan Area
Banco Santander
Equity model validation quant
June 1, 2011 – April 1, 2015
Madrid Area, Spain
BBVA
Credit risk model developer
May 1, 2009 – May 1, 2011
Madrid Area, Spain
Neo Metrics
Junior Analytical Consultant
January 1, 2009 – May 1, 2009
Madrid Area, Spain
Liberbank
Intern
May 1, 2008 – November 1, 2008
Oviedo, Spain
Master of Information and Data Science
University of California, Berkeley
June 24, 2026 – Present
edX Verified Certificate for Data Science Essentials
edX
June 24, 2026 – Present
Nova member
Nova
June 24, 2026 – Present
June 2022 MLADS Conference Volunteer
Microsoft
June 24, 2026 – Present
Academy Accreditation - Databricks Lakehouse Fundamentals
Databricks
June 24, 2026 – Present
edX Verified Certificate for Principles of Machine Learning
edX
June 24, 2026 – Present
edX Verified Certificate for Introduction to Python for Data Science
edX
June 24, 2026 – Present
edX Verified Certificate for Analyzing and Visualizing Data with Power BI
edX
June 24, 2026 – Present
edX Verified Certificate for Querying with Transact-SQL
edX
June 24, 2026 – Present
OpenHack: Modern Data Warehousing
Microsoft OpenHack
June 24, 2026 – Present
edX Verified Certificate for Programming with Python for Data Science
edX
June 24, 2026 – Present
Gemini Enterprise Level 400 Specialist Badge
June 24, 2026 – Present
Professional Machine Learning Engineer Certification
June 24, 2026 – Present
edX Verified Certificate for Statistical Thinking for Data Science and Analytics
edX
June 24, 2026 – Present
edX Verified Certificate for Data Science Orientation
edX
June 24, 2026 – Present
MCSA: Machine Learning - Certified 2018
Microsoft
June 24, 2026 – Present
Microsoft Certified: Azure AI Engineer Associate
Microsoft
June 24, 2026 – Present
Nvidia - AI Infrastructure and Operations Fundamentals
NVIDIA
June 24, 2026 – Present
FRM
Global Association of Risk Professionals (GARP)
June 24, 2026 – Present
edX Verified Certificate for Implementing Predictive Analytics with Spark in Azure HDInsight
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning financial services, consulting, and major tech companies (Microsoft, Google), indicating adaptability to various corporate cultures. Their involvement in leading customer workshops and managing a Data Science Community suggests a collaborative and knowledge-sharing approach. The continuous pursuit of advanced education and certifications (e.g., UC Berkeley MIDS, Google certifications) demonstrates a strong commitment to continuous learning and professional development, which aligns well with innovation-driven environments. However, the target role is 'Data Analyst' while the candidate's experience is heavily skewed towards 'Data Scientist' and 'AI/ML Solution Architect' roles, which are typically more senior and focused on model development and strategic implementation rather than pure analysis. This might indicate a potential mismatch in the expected day-to-day responsibilities and scope.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight strong leadership, collaboration with cross-functional teams, and customer-facing communication skills. Their role in developing and delivering internal training programs suggests a proactive approach to knowledge sharing and team empowerment. The extensive experience in architecting and implementing solutions for large enterprises indicates strong problem-solving and operational execution capabilities. The candidate's background in risk management also implies a detail-oriented and analytical mindset.