Amparo Canaveras

Amparo Canaveras is a Strategic Data Science Executive with over 20 years of experience, specializing in providing technical leadership and driving a data-driven decision-making culture.

She excels in developing data-driven strategies, implementing advanced tools and technologies, and devising effective strategies resulting in increased cost savings and profitability.

Amparo is proficient in various technical skills such as machine learning algorithms, data visualization, feature engineering, clustering and classification, time series forecasting/analysis, natural language processing, optimization techniques, distributed computing, reinforcement learning, deep learning, and business analytics.

In her role as Principal Data Scientist at Verizon Communications Inc., she leads MLOps initiatives, builds accurate time series forecast models, and develops reinforcement learning algorithms to optimize resource allocation.

Amparo Canaveras employs Explainable AI techniques like Shapely values, LIME counterfactuals, and causal models to enhance model interpretability and explainability, while also designing experiments and training frameworks aligned with business goals.

Her previous experience as a Business Intelligence Manager involved spearheading data collection, analysis, research, geospatial models, and analytics strategies to improve decision-making processes, maximize retail ROI, and reduce overhead costs.

Amparo's educational background includes a Master of Science (MS) in Engineering & Management from MIT, a Master in Business Intelligence & Analytics (BIA) from Stevens Institute Of Technology, an MBA from EAE Business School, and a Bachelor of Engineering in Computer Science & Telecommunications from Universidad Politécnica De Valencia.

Additionally, she holds a Project Management Professional (PMP) certification from the Project Management Institute (PMI).