Pedro P.

Abercrombie & Fitch

Senior Data Scientist and ML Engineering & MLOps Specialist

• United States

• Implemented a micro services architecture in Azure for Abercrombie US, allowing different services to operate independently, which significantly reduced complexity and improved system maintainability.
• Developed machine learning models to predict market trends and consumer behaviors, integrating them into micro services to provide real-time insights.
• Implemented computer vision solutions to optimize inventory logistics, using AI to automatically identify and classify products, resulting in more efficient stock management and reduced inventory discrepancies.
• Increased the conversion rate and customer loyalty through personalized recommendation algorithms.

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Sevenair

Senior ML Engineer & MLOps Specialist

• Portugal

• Created robust real-time monitoring and alerting systems to track the performance and reliability of ML models in production.
• Improved the uptime and reliability of critical AI applications, ensuring continuous operation and user satisfaction.
• Developed machine learning models to predict maintenance needs for aircraft, helping to reduce downtime and improve safety.
• Implemented data analytics solutions to optimize flight schedules and route efficiency, reducing operational costs and enhancing service reliability.
• Leveraged machine learning to analyze customer feedback and satisfaction surveys, identifying areas for service improvement.

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Avis Global US Group

Senior Data Engineer & AI Consultant

• United States

• Developed Advanced Predictive Models for segment and pricing optimization, maximizing revenue and market competitiveness.
• Designed and deployed predictive analytics models to forecast market trends and anticipate customer behavior patterns.
• Implemented innovative AI-powered solutions, including conversational chatbots and virtual assistants, to automate customer service processes.

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HYG - Hyster-Yale Materials Handling

Data Engineering & AI Principal Solutions Consultant

• Remote

• Implemented innovative AI-powered solutions, including conversational chatbots and virtual assistants, to automate customer service processes, significantly improving response times, operational efficiency, and overall user satisfaction.
• Led the deployment of Generative AI solutions for predictive maintenance and operational optimization using TensorFlow and PyTorch.
• Developed and managed data infrastructure on the Azure cloud platform, integrating real-time data analytics for operational efficiency.
• Deployed machine learning models for predictive maintenance of lift trucks, utilizing traditional AI techniques to monitor equipment health and predict failures.

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Anatel

Senior Data Scientist and ML Engineering & MLOps Specialist

• Jan, 2022 - Present
• Brazil

• Identified high-value players at the highest risk of churn, allowing for early retention strategies for the most profitable players.
• Implemented advanced Prompt Engineering techniques to optimize AI model outputs, improving accuracy and performance in real-time decision-making processes.
• Led the integration of Generative AI (GPT-4) models, utilizing RAG techniques and vector databases to enhance real-time decision-making and personalized customer experiences.
• Spearheaded the implementation of Azure Functions to handle event-driven processing, significantly improving data retrieval speeds and system scalability.
• Utilized Snowflake for centralized data storage and advanced analytics, enabling seamless data integration across departments.
• Led the migration of an AWS-based pipeline to Azure, enhancing data processing speeds and improving system reliability.

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Casino Estoril Portugal

Head of iGaming Analytics for Data, AI Strategy & Marketing

• Jan, 2019 - Present
• Portugal

• Oversaw and optimized essential performance indicators, including Net Gaming Revenue (NGR), Actives, Depositors, ARPU, ATPU, Margin, and Provider Cost to NGR.
• Led the analysis of operational and financial data to identify trends and player behavior patterns.
• Executed margin optimization strategies by analyzing cost-benefit data and negotiating with providers.
• Configured real-time alert systems to monitor fluctuations in critical KPIs.
• Employed predictive analytics and segmentation techniques to personalize experiences for various player profiles.
• Developed solutions with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems.

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NTT Data

Hands-on Data Engineer, AI Architect, ML Engineer & MLOps Specialist

• Jan, 2017 - Jan, 2021
• Remote

• Led several proofs of concept and value in the education, banking and retail segments to show the benefits of digital transformation.
• Developed scalable AI solutions and implemented CI/CD pipelines.
• Deployed Elastic Stack for real-time monitoring and alerting of data pipelines.
• Spearheaded the design and deployment of scalable AI architectures focused on large-scale language models.
• Developed and optimized CI/CD pipelines for machine learning models, reducing deployment time and operational costs by 20%.
• Created robust real-time monitoring and alerting systems for ML models in production.
• Designed and implemented data pipelines for efficient data ingestion, transformation, and storage.
• Managed relational and NoSQL databases, optimizing query performance.
• Implemented best practices for data governance, security, and compliance.

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Dell Services

Hands-on Data Engineer, AI Architect, ML Engineer & MLOps Specialist

• Jan, 2014 - Jan, 2017
• Remote

• Led several proofs of concept and value in the education, banking and retail segments to show the benefits of digital transformation.
• Developed scalable AI solutions, implementing CI/CD pipelines and using Kubernetes for orchestration and Docker for environment consistency.
• Deployed Elastic Stack for real-time monitoring and alerting of data pipelines, improving operational efficiency and data reliability.
• Spearheaded the design and deployment of scalable AI architectures, focusing on large-scale language models (LLMs).
• Developed and optimized CI/CD pipelines for machine learning models, reducing deployment time and operational costs by 20%.
• Created robust real-time monitoring and alerting systems to track the performance and reliability of ML models in production.
• Designed and implemented data pipelines for efficient data ingestion, transformation, and storage using big data technologies.
• Managed relational and NoSQL databases, optimizing query performance and ensuring data integrity and security.
• Implemented best practices for data governance, security, and compliance, adhering to industry standards such as GDPR.
• Led cross-functional teams of data scientists, engineers, and business analysts to align AI initiatives with strategic business goals.

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Zurich Insurance

Data Scientist

• Jan, 2014 - Jan, 2021
• Remote

• Developed Advanced Predictive Analytics Models for risk management and regulatory compliance using machine learning techniques.
• Utilized machine learning to assess risk profiles of clients and implemented automated systems for continuous monitoring.
• Developed AI-driven solutions to detect anomalies and suspicious activities for fraud detection.
• Implemented data engineering practices to integrate and manage large datasets, ensuring high data quality.
• Established a framework for continuous evaluation and optimization of predictive models.

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Brazilian Eldorado Research Institute

Senior Data Engineer & AI R&D Innovation Architect

• Jan, 2010 - Jan, 2014
• Brazil

• Implemented data engineering practices to integrate and manage large datasets from multiple sources, ensuring high data quality and consistency.
• Established a framework for the continuous evaluation and optimization of predictive models.
• Oversaw the execution of business digital transformation journey using big data and IoT modernization program.
• Developed roadmap for Productized integrated solutions in Digital in vertical as well as horizontal enterprise services.
• Created roadmap for company to establish data science as a key component of business.

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