Antonio S.

During my time at Quantrue, I worked as a lead data scientist within a fast growing consulting environment, partnering directly with enterprise clients to design and deliver AI driven solutions with clear business impact. I operated in international settings with English as the main working language, collaborating closely with C level stakeholders across finance, operations and customer facing functions. My role combined technical delivery with strategic advisory, ensuring that solutions were aligned with business priorities and measurable outcomes.

I led multiple artificial intelligence initiatives focused on GenAI applications, advanced analytics and process automation across different industries. This included the design of conversational analytics platforms, intelligent document processing systems and decision support tools that enabled non technical users to interact directly with data and accelerate insight generation. These solutions were integrated into existing enterprise ecosystems and deployed in production environments.

In addition, I contributed to end to end AI programs in areas such as financial forecasting, risk modeling and predictive maintenance, working with both structured and unstructured data sources. I regularly coordinated cross functional teams of data scientists and engineers, taking ownership of delivery planning, model performance and stakeholder communication. My responsibilities also included ensuring adoption of solutions within business units and aligning outputs with operational decision making.

Across all engagements, I maintained a strong focus on translating complex AI capabilities into tangible business value, improving efficiency, reducing manual effort and enabling faster decision cycles. I also played an active role in client interactions, including workshops, executive presentations and onsite collaborations, always ensuring alignment between technical execution and strategic objectives.

During my time at NTT Data, I worked as a data science consultant in an international consulting environment, supporting enterprise clients across energy, banking and utilities. I collaborated directly with business and technical stakeholders, often in English, including interactions with decision makers, translating complex analytical work into clear business recommendations.

I delivered multiple end to end analytics and machine learning solutions across forecasting, customer intelligence and risk use cases. This included developing predictive models and time series forecasting systems that improved planning accuracy and supported more reliable decision making at scale.

I also contributed to improving data workflows and analytical processes, working closely with cross functional teams to ensure models were production ready and integrated into business operations. Across projects, I focused on combining technical rigor with business impact, ensuring that analytical outputs were actionable and aligned with client needs in international environments.

Development and maintenance of credit risk models for a major financial institution.

Assisted in modeling the loss given default (LGD) parameter under the IFRS9 standard. Conducted data analysis and generated insights on customer data, preparing impact reports to support decision making based on model outcomes.

Main technologies used: SAS (SQL), Python (Pandas & NumPy), and Microsoft Office suite.