Pablo Jose Romero

Pablo Jose Romero

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Leading AI & Data Science Teams | Global Team Builder | ML Strategy, MLOps & Analytics Adoption
Cordoba, Argentina

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Full-time jobs
Starting at USD84k/year
Flexible work
Starting at USD50/hour
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Résumé


Jobs verified_user 0% verified
  • Better Collective
    ML Engineering & Data Science Lead
    Better Collective
    Mar 2025 - Current (1 year 6 months)
    • Owned the end-to-end machine learning lifecycle, delivering production-ready CLV models aligned with business goals, emphasizing scalability, parsimony, and explainability. • Mentored and led a team of data scientists, fostering technical growth, peer review practices, and alignment with the company’s strategic priorities. • Developed and deployed customer value prediction and churn models, integrating AWS tools, MLflow, and reproducible pipelines for long-term maintainability. • Promoted a culture of data-driven decision-making, partnering with stakeholders to translate complex insights into actionable strategies across marketing and product. Additionally, leveraged SQL for data extraction and storage in S3 and tables, which was cr
  • Universidad Católica de Córdoba
    Profesor de Matemática Aplicada a las Finanzas
    Universidad Católica de Córdoba
    Aug 2024 - Current (2 years 1 month)
  • S
    Professor - Statistics II
    School of Economics UNC
    Mar 2024 - Current (2 years 6 months)
  • S
    Professor - Introduction to Data Science
    School of Economics UNC
    Mar 2024 - Current (2 years 6 months)
  • S
    Data Migration & BI Lead
    Symplast EHR
    Feb 2024 - Mar 2025 (1 year 2 months)
    As the Data Migration & BI Lead, I was responsible for the company's self-service data strategy, leading the development and maintenance of analytics and reporting pipelines in Azure to enhance data accessibility and reliability. I directed end-to-end data migration initiatives, including staging design, SQL automation, Cosmos DB extraction, and Data Factory orchestration for a seamless transition across cloud environments. Additionally, I oversaw the analytics department, implementing a multicloud approach that utilized Google Cloud Platform (GCP) for live machine learning models, Azure Data Factory for ETL processes, and AWS for storage solutions, virtual machines, and serverless computing. This comprehensive strategy not only improved ou
  • A
    Chief Executive Officer
    Amauta
    Nov 2023 - Feb 2025 (1 year 4 months)
    • Led strategic vision and execution at Amauta, aligning data consulting, AI services, and training programs for long-term growth. • Directed day-to-day operations, set KPIs, and fostered a culture of continuous improvement across cross-functional teams. • Oversaw budgets, forecasting, and resource allocation as acting CFO to maintain sustainable profitability and stability. • Additionally, utilized a comprehensive toolset, including Spark, Microsoft Azure, Databricks, SQL, Python, and statistical modeling, while developing machine learning models and implementing MLOps architectures for major clients, ensuring that both management and technical aspects of the consultancy were effectively addressed. • Championed a 100% remote work env
  • S
    Data Analyst
    Symplast EHR
    Oct 2023 - Feb 2024 (5 months)
    • Developed internal and external reports for data insights, aiding in decision-making. • Led analytics oversight to enhance data accessibility and reliability. • Utilized predictive modeling to identify trends and opportunities for proactive strategies. • Successfully managed complex data workflows and collaborative projects within a fully remote work environment, demonstrating strong self-discipline and mastery of digital communication tools to maintain high levels of productivity and team alignment.
  • S
    Tech Support Specialist
    Symplast EHR
    Jan 2023 - Oct 2023 (10 months)
    • Conducted data migration from legacy systems to Symplast, ensuring a seamless transition and minimal disruption to operations. • Tested and ensured quality assurance of software, maintaining high standards of functionality and user experience. • Developed several API and toolkits used by Tech Support and Onboarding, enhancing the efficiency of support processes. • Additionally, I began developing Microsoft Power BI dashboards to track team productivity, monitor data logs, and create usage dashboards, which provided valuable insights for continuous improvement. • Successfully transitioned to a remote work environment, maintaining high levels of collaboration and productivity while supporting distributed teams. • Leveraged cloud computing a
  • Henry
    Data Science Instructor
    Henry
    Jun 2022 - Sep 2022 (4 months)
  • Henry
    Data Labs Coordinator
    Henry
    May 2022 - Nov 2023 (1 year 7 months)
    • Managed a remote team of +10 people in learning operations at Henry, ensuring smooth operations and high-quality deliverables. • Developed cutting-edge Machine Learning models as a cross-consultant, contributing to the company's innovative solutions. • Collaborated with the Data Science Career team at Henry, playing a key role in shaping the future of data analytics in the industry. • Leveraged knowledge of software architecture to serve as a cross-consultant for the application development team, effectively guiding the design and implementation of the data layer to ensure scalable and robust system performance.
  • S
    Professor - Data Science, AI and Applications
    School of Economics UNC
    Apr 2022 - Feb 2025 (2 years 11 months)
    As a Professor specializing in Data Science, AI, and their applications, I developed and delivered comprehensive course content that engaged students in both theoretical and practical aspects of the field. I facilitated hands-on learning experiences, guiding students through complex data analysis projects and fostering critical thinking skills. Additionally, I incorporated Microsoft Power BI into the curriculum, as one of the modules in the course teaches students about Business Intelligence (BI) tools, enhancing their ability to visualize and interpret data effectively. This integration not only enriched the learning experience but also prepared students for real-world applications in data-driven decision-making.
  • G
    Quantitative Trader
    Grupo del Plata SA ALyC
    Apr 2021 - Jun 2022 (1 year 3 months)
    • Developed and tested fixed-income and derivatives strategies at Grupo del Plata S.A. - ALyC. • Implemented live monitors and automated reports to enhance trading efficiency. • Responsible for mark-to-market accounting and guarantee consolidation. • Applied project management methodologies to lead the research team and oversee critical initiatives for updating and optimizing our proprietary trading algorithms.
  • I
    Research Assistant
    IERAL of Fundación Mediterránea
    Feb 2020 - Mar 2021 (1 year 2 months)
    Research Assistant - Conducted rigorous academic research and implemented machine learning models to analyze complex datasets and support project objectives. - Managed end-to-end research workflows, including data collection, statistical analysis, and the synthesis of findings for publication. - Adapted to a fully remote work environment during global disruptions, maintaining high productivity and consistent communication through digital collaboration tools to ensure project milestones were achieved without interruption.
  • S
    Research Assistant - Instituto de Estadística y Demografía
    School of Economics UNC
    Oct 2018 - Sep 2022 (4 years)
    Como Research Assistant en el Instituto de Estadística y Demografía, fui responsable de llevar a cabo análisis de datos complejos y realizar investigaciones exhaustivas en el ámbito de la estadística y la demografía. Utilicé herramientas avanzadas como Python, R y SQL para desarrollar modelos estadísticos y realizar análisis predictivos, lo que contribuyó a la toma de decisiones informadas. Además, apliqué técnicas de machine learning y data science para optimizar los procesos de análisis, incluyendo la creación de modelos de machine learning para el PIB y la valoración de activos, lo que, aunque se relaciona con la inteligencia artificial financiera, se centró en aplicaciones prácticas dentro de la investigación. Mi experiencia en MLOps y
Education verified_user 0% verified
  • Universidad de San Andrés
    Master in Management, Business Administration, Management and Operations
    Universidad de San Andrés
    Jan 2025 - Sep 2025 (9 months)
  • Alma Mater Studiorum  Università di Bologna
    M.A. Economics
    Alma Mater Studiorum Università di Bologna
    Jan 2021 - Jan 2022 (1 year 1 month)
  • Universidade Federal de Minas Gerais
    Ciências Econômicas, Economics
    Universidade Federal de Minas Gerais
    Jan 2019 - Jan 2020 (1 year 1 month)
  • Universidad Nacional de Córdoba
    Bachelor's degree, Economics
    Universidad Nacional de Córdoba
    Jan 2016 - Jan 2022 (6 years 1 month)
Projects (professional or personal) verified_user 0% verified
    Awards verified_user 0% verified
    • Consejo Interuniversitario Nacional
      EVC-CIN Scholarship
      Consejo Interuniversitario Nacional
      Sep 2021
    • A
      Becario AUGM (ESCALA)
      Asociación de Universidades del Grupo Montevideo