Javier Espinoza Traslaviña's Linkedin Analytics

As a Data Scientist at Cummins Chile, I apply Statistics and Artificial Intelligence to Management and Physical Assets through IoT and Big Data. I work on projects such as detecting anomalies in the behavior of diesel engines, estimating degradation via oil samples, predicting remaining useful life, diagnosing fault codes, and automating business processes. I am also pursuing a Master in Artificial Intelligence and Deep Learning at Universidad de Alcalá, where I learn advanced techniques and frameworks for developing and deploying ML models. I have completed several courses and certifications in Data Science, Machine Learning, Deep Learning, and Python, from reputable institutions such as Microsoft, deeplearning.ai, and Awakelab. I have a strong background in Engineering, having obtained a Civil Industrial Engineer degree and a Degree in Engineering Sciences from Universidad de Valparaíso. I am a creative and proactive professional, always attentive to business 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.