Pedro Quilles Campo Email & Phone Number

Madrid, Es

Remote

Madrid, Community Of Madrid, Spain

Acquired proficiency in multi-time series forecasting for product demand in sectors like food chains and warehouses, improving inventory management and business strategy.Developed expertise in reviewing state-of-the-art research papers and implementing proposed solutions, particularly in fraud detection and time series forecasting.Successfully deployed and managed a comprehensive machine learning system on the cloud, ensuring robust performance and scalability.

Madrid, Community Of Madrid, Spain

As a committed Data Scientist in the Analytics Department, my primary role involves executing data analytics projects and developing machine learning algorithms for predictive analytics. My expertise includes using advanced models like EfficientNetv2 and MobileNet for creating sophisticated classification, segmentation, and object identification models.Key Responsibilities and Achievements:Optimization Algorithms: Designed and implemented robust optimization algorithms for industrial distribution and logistics, yielding enhanced operational efficiency.Fraud Detection: Developed and managed advanced fraud detection models for the insurance sector, markedly reducing the occurrence of fraudulent claims.Anomaly Detection: Established streaming data pipelines for real-time anomaly detection in maritime logistics, pinpointing and addressing critical issues.Data Visualization: Created dynamic metrics and KPI dashboards in Grafana, enabling data-driven decision-making across various departments.Infrastructure Development: Employed Docker for constructing portable infrastructures, boosting software efficiency and reliability.Model Deployment: Effectively deployed Convolutional Neural Networks (CNNs) and various Machine Learning models using Docker and FastAPI, enhancing prediction accuracy and model responsiveness.Requirements Gathering: Skillfully gathered project requirements during client meetings, ensuring alignment of data-driven projects with customer needs and expectations.Innovation: Actively engaged in brainstorming sessions to conceive and design innovative, data-centric projects, contributing significantly to the team's creative solutions.

Master In Big Data And Data Science

B.Sc In Mathematics, Minor In Computer Science

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