Alonso Arredondo
@alonsoarredondo
Data analyst and AI/ML builder, delivering end-to-end ML and NLP for real-world impact.
What I'm looking for
I’m a social psychologist turned data analyst with a Master’s in Data Science (Universidad Complutense de Madrid), and hands-on experience building AI-powered systems on Google Cloud Platform. I design and deploy end-to-end ML pipelines, multi-agent architectures, and NLP solutions applied to real-world problems in civic, social, and health domains.
My quantitative research and behavioral analysis background gives me an analytical edge to interpret the human context behind the data. I’ve built autonomous systems like a multi-agent journalism pipeline that takes a topic from research to published article in ~84 seconds (~43 articles/hour), a computer-vision recipe assistant with ~95% recognition accuracy, and a real-time electoral analytics dashboard using empirical modeling.
Experience
Work history, roles, and key accomplishments
Independent AI/ML Projects
Independent
Jul 2025 - Present (11 months)
Built an AI-powered journalism pipeline: a 6-agent system that turns a topic into a published article in ~84 seconds with ~43 articles/hour throughput. Developed additional GCP-deployed systems including an ingredient-recognition recipe assistant with ~95% accuracy and Precision@1=0.94 (Precision@3=1.00) plus a real-time electoral analytics dashboard and a developing multi-agent customer-j outney
Profile Analyst Internship
Asociación Pauta
Oct 2025 - Jan 2026 (3 months)
Conducted structured case analysis using observational data to support labor market inclusion programs for people with disabilities. Tracked individual progress with data-driven monitoring frameworks and designed tailored intervention strategies using behavioral pattern analysis.
Data & Research Analyst
Asociación Civil Impacta Salud y Educación
Mar 2021 - Aug 2023 (2 years 5 months)
Designed and managed databases for 600+ participants across 4 clinical research studies, performing data cleaning, transformation, and statistical analysis to monitor retention. Produced statistical reports and data visualizations to inform program decisions and collaborated with multidisciplinary teams to translate findings into actionable interventions.
Community Relations Intern
Federación de Comunidades Nativas Yanesha
Sep 2019 - Aug 2020 (11 months)
Supervised participation of two Indigenous communities in a UNDP sustainable development project and supported field coordination. Co-authored a book chapter on Yanesha women’s community roles published in a UNESCO-affiliated volume (2021).
Education
Degrees, certifications, and relevant coursework
CMICE Getafe
Google Cloud Platform Engineer (Machine Learning/IA) - IFCT0017/IFCT0065, Machine Learning / Google Cloud Platform
2026 -
Activities and societies: Hands-on work with Vertex AI, Cloud Run, vector databases, Gemini API, and ML model deployment.
Practical training in Google Cloud Platform, covering Vertex AI, Cloud Run, vector databases, Gemini API, and ML model deployment. Level in EQF: 5.
Universidad Complutense de Madrid
Master’s in Data Science, Data Science (Big Data & Business Analytics)
2024 - 2025
Activities and societies: Applied projects using Python, SQL, Spark, and cloud platforms.
Advanced studies in machine learning, NLP, big data architectures, and statistical modeling with applied projects using Python, SQL, Spark, and cloud platforms. Level in EQF: 7.
CERTUS
Postgraduate Diploma in Data Analytics, Data Analytics
2024 - 2024
Activities and societies: Foundations in data analysis plus Python, SQL, MySQL, and Power BI for business intelligence.
Postgraduate diploma focused on data analytics foundations using Python and SQL, with MySQL and Power BI applied to business intelligence. Level in EQF: 4.
Pontificia Universidad Católica del Perú (PUCP)
Bachelor's in Social Psychology, Social Psychology
2013 - 2020
Grade: Honors
Activities and societies: Specialized in research methods, statistics, and SPSS; received a PADET research grant (2019).
Bachelor’s degree in Social Psychology with specialization in quantitative and qualitative research methods, statistics, and SPSS. Graduated with honors and received a research grant (PADET, 2019).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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