Machine Learning
Develop predictive models, NLP tools, recommendation engines, automation systems, and anomaly detection solutions that help teams forecast outcomes, optimize workflows, and create smarter business processes.
Dynamic Data helps businesses turn fast-moving data into practical decisions through AI engineering, real-time analytics, modern data stacks, and custom reporting. From machine learning models to live dashboards and automated pipelines, our consultants design tailored solutions that reduce manual work, improve visibility, and help teams act confidently on current, reliable business intelligence.
Practical AI, analytics, and engineering services built to make business data faster, clearer, and more useful.
Develop predictive models, NLP tools, recommendation engines, automation systems, and anomaly detection solutions that help teams forecast outcomes, optimize workflows, and create smarter business processes.
Implement live reporting pipelines and dashboards that keep business metrics current, so teams can respond to operational changes using timely information instead of outdated reports.
Build reliable pipelines, integrations, orchestration workflows, and performance-tuned data systems that consolidate sources and support accurate analytics at enterprise scale.
Create business intelligence solutions, decision-support reports, advanced analytics, and data mining workflows that reveal trends, opportunities, and performance drivers.
Transform complex datasets into interactive dashboards, executive reports, and visual storytelling tools that make key insights understandable for technical and non-technical audiences.
Define AI roadmaps, prioritize high-impact use cases, select the right technologies, and plan practical integration into existing systems for measurable business outcomes.
We begin by understanding your business objectives, current data environment, reporting gaps, and operational bottlenecks. This helps our consultants identify the highest-value opportunities for AI, real-time analytics, automation, and modern data architecture.
Businesses rely on Dynamic Data to modernize analytics, automate reporting, and unlock measurable data value.
Work with a multidisciplinary team focused on practical, measurable analytics outcomes.
Custom machine learning and AI solutions designed around real business problems and measurable results.
Deep experience launching scalable data architectures, automated reporting, and analytics-ready infrastructure.
dbt Certified Developer and ISTQB QA expertise support reliable, tested data solutions.
Expertise across 35+ platforms and languages enables flexible solutions for complex environments.
Experienced leaders and engineers powering modern analytics solutions.
CEO & Founder
Victoria Gallerano is the CEO and Founder of Dynamic Data, which she established in 2020 with a mission to transform complex data into actionable insights for businesses worldwide. A recognized expert in Business Intelligence, Artificial Intelligence, and Data Governance, Victoria founded the company to help organizations launch modern data stacks, automate reporting, and harness the power of machine learning for real, measurable results. Under her leadership, Dynamic Data has grown to a team of over 25 professionals spanning Europe, South America, and the USA. Victoria is driven by a client-centric mindset and a passion for innovation, ensuring every solution delivered is tailored to help businesses thrive in an increasingly digital world.
CTO
Diego Prinzi serves as Chief Technology Officer at Dynamic Data, where he leads a multidisciplinary team of data professionals dedicated to delivering innovative, client-driven solutions. With over 15 years of experience in software development and data engineering, Diego brings deep technical expertise and a strategic vision that empowers businesses to make smarter, faster decisions. He is passionate about translating complex data challenges into clear, actionable outcomes that drive meaningful growth for clients. Diego's collaborative leadership style and command of over 35 platforms and languages make him a cornerstone of Dynamic Data's ability to deliver cutting-edge AI and machine learning solutions across industries.
Analytics Engineer
Marcelo Bour is an Analytics Engineer at Dynamic Data and a certified dbt Developer, bringing a powerful combination of technical precision and business acumen to every project he undertakes. With a strong foundation in data modeling, workflow optimization, and analytics engineering, Marcelo plays a key role in streamlining data pipelines and reducing manual efforts for clients undergoing digital transformation. He is deeply committed to fostering collaboration across teams and aligning technical solutions with real business needs. Marcelo's ability to bridge the gap between complex data systems and practical business outcomes makes him an integral part of Dynamic Data's mission to help companies unlock the full value of their data.
AI engineers design, build, test, and deploy systems that use machine learning, automation, and data-driven logic to solve business problems. They prepare data, select algorithms, train models, integrate AI into applications or workflows, and monitor performance after launch. At Dynamic Data, AI engineering also includes strategy, data pipelines, dashboards, and practical adoption support.
Talk with our experts about your AI and analytics goals.
Validated analytics engineering and dbt development expertise.
Software testing knowledge supporting reliable delivery.
Experience across 35+ platforms and languages.
Share your analytics, AI, or reporting goals and Dynamic Data will help identify the right next steps for your business.
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To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.