Javier Espinoza Traslaviña's Linkedin Analytics

Applies statistics and Artificial Intelligence to Physical Assets maitenance problems through IoT and Big Data, and work on projects such as detecting anomalies, estimating asset degradation states, predicting remaining useful life, automation of business processes, so and so forth. Hold a master degree in Artificial Intelligence and Deep Learning from Universidad de Alcalá of Spain, and completed several courses and certifications in Data Science, Machine Learning, Deep Learning, and Python, from reputable institutions such as Microsoft, deeplearning.ai, and Awakelab. Also have a strong background in Engineering, having attained the Civil Industrial Engineer title and a degree in Engineering Sciences from Universidad de Valparaíso. Is a creative and proactive professional, alwas attentive to make improvements and adding value by 'connecting the dots' between the business model and technological tools and automation. I enjoy collaborating with multidisciplinary teams and stakeholders, and I am motivated by solving complex and challenging problems with data-driven solutions.