Pablo Soriano
Junior Analytics Engineer @Glow25
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WORK HISTORY
Junior Analytics Engineer @Glow25
Berlin, DE
Support in developing and maintaining modular, well-documented data models using SQL- Create curated data tables for dashboards, reports, and ad-hoc analyses- Implement tests and validations to ensure data quality and consistency- Collaborate with business stakeholders to gather requirements and deliver suitable data solutions- Maintain clear documentation of data models, transformations, and metrics to ensure transparency and knowledge sharing
EDUCATION
Code Academy Berlin
Data Science & Machine Learning, Data Science
University of Buenos Aires
Diplomatura, Gestión de proyectos
DataCamp
Data Analyst in Python
Universitat d'Alacant
Curso UniMOOC, Vigilancia tecnologica
DataCamp
Associate Data Analyst in SQL
EDX /BID
IDB6x: Project Management for Development Professionals, Gestión de proyectos
Instituto Universitario de la PolicÃa Federal Argentina (IUPFA)
Licenciado en Criminalistica, Tecnologias para la seguridad
INAP
Gestion Publica y Planificacion Estrategica. Concepetos Generales, Gestión de empresas/organizaciones sin ánimo de lucro/entidades públicas
University of Buenos Aires
Master en Politica y Gestion de la Ciencia y la Tecnologia
DeepLearning.AI
Specialization, Data Engineering
ABOUT PABLO SORIANO
I turn messy, multi-source data into decisions people actually use. In hospitality ops I led teams while building analyses that reduced food costs by 17% and labor by 10%—and that hands-on impact is what I now bring to Data/BI roles.I build lean pipelines from APIs & scraping → SQL/Python transforms → ELT (dbt) → dashboards (Tableau/Power BI) → stakeholder narratives. Recent work: a crypto analytics dashboard (automated ingestion to Postgres + Streamlit UI, AWS scheduling), a job-market analyzer (NLP skill extraction & matching), and a materials pollutant prototype (multi-label modeling, explainability).I’m comfortable at the intersection of business questions and backend reality: shaping KPIs, modeling data for clarity, and shipping dashboards/pipelines with documentation that non-technical teams can follow.Core competencies: SQL, Python (pandas, scikit-learn), dbt, Airflow, ETL/ELT, Data Modeling (star/Kimball), Warehousing (Snowflake/BigQuery/Redshift), Postgres, AWS (Lambda, S3, EventBridge), APIs & Web Scraping, Tableau, Power BI, Streamlit, KPI Design, Experimentation/A-B, Cohort/Funnel, Forecasting/Time Series, Data Storytelling, Stakeholder Management, Git/CI.Call to action: Exploring Data Analyst / BI Analyst / Analytics Engineer / Junior Data Engineer roles (Berlin/Remote). Happy to share repos or walk you through a build in 10 minutes.
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