I'm a Civil Industrial Engineer, with a diploma and Master's degree in Management Control with Bootcamp in Data Science and since a few months I have been learning best practices of MlOps, with in depth knowledge in BI tools (Power BI, Tableau and DataStudio), I have expertise in programming languages such as Python (Libraries: Numpy, Pandas, TensorFlow, Keras, Scikit-learn, Matplotlib, Seaborn...), R and SQL, Big Data (Hadoop, Spark y Kafka), cloud experience (AWS and Azure), workflows implementation (Airflow) and environments testing with Docker. Using methodologies like KDD, ETL, Machine Learning and Deep Learning. Currently, my professional goal is to work in a company that allows me to improve myself through constructive feedback, collaboration and teamwork, with a good working environment and a stability. I have experience implementing Big Data environments, data pipelines and Data Quality to ensure an optimal result of analytics, implementing Artificial Intelligence environments and models by Supervised and Unsupervised Learning technics, dashboards by Business Intelligence tools, using the principal indicators of the Enterprise Performance Management, centralizing the information directly to the business strategy and align/guide the top management, stakeholders and headquarters to make important decisions to the company. As a complement, lead internal projects to optimise processes, improve data pipelines and automate repetitive activities
