Data Scientist

● Quick learning capabilities - After years of implementing several learning techniques, I have managed to structure my thinking processes in order to shorten the learning curve of any topic.
● Result-oriented scope - I focus on the results to assert whether a task is successful or not, without neglecting the valuable experience gained from executing the task itself.
● Effective management of resources – I consider that proper management of assets is key to get the most out of a project, especially time.
● Outstanding communication skills – I communicate my ideas clearly. I try to explain technical topics in a way such that people without a technical background can understand the concept.
● Adaptable to change – I do not mind having to change tasks, processes or functionalities on the go, as long as the goals of the project are reached.
● Assertive – I express my ideas based on facts. I am always willing to listen another people’s ideas and to be open to discussion.
● Problem solver – Whenever an issue in my team comes up, I focus on finding the most effective solution.
● Deep Learning - +1 year developing and analyzing models based on deep neural networks with architectures such as MLP, ConvNets, LSTMs, etc, using frameworks like Keras and Tensorflow.
● Machine Learning -+2 years identifying and applying the proper machine learning models for a particular case; focusing in model interpretability and its optimization through hyperparameters search.
● Data Science - +6 months implementing frameworks to get the most useful and insightful information out of big amounts of data, using tools like Python, Pandas, Numpy, Matplotlib, etc.
● Big Data - +6 months designing and implementing Big Data architectures, Data warehouses, and
ETL processes with Hadoop, Spark, Hive, Hbase and Sqoop.
● Web Development - +3 months hands-on several Full-Stack projects using frameworks like React.js and Node.js.
● SQL -+ 1 year scripting complex queries to effectively retrieve data from relational databases.
● PowerBI -6 months applying ETL processes, DB normalization and designing dashboards to provide useful business insights.
● Manufacturing Processes Automation - +1 year implementing and applying strategies to automate manufacturing processes in the industry by applying disruptive technologies such as IoT and cyber-physical digital-twin
● Teamwork - +4 years working on several projects in engineering teams. From servomechanisms to digital-twin applications.