I consider myself an organized and motivated individual who is not scared of facing new challanges and has no problem in adapting or learning new technologies. My main interests are Machine Learning, Data Science and Software Engineering.

Lead Data Scientist at Unlimiteck

September 2017 - Now

• Part of the data science team since its creation and lead after one year
• Analysis of business requirements & KPI definition of all data driven projects along with stakeholders
• Research, design and end-to-end implementation of all model-based solutions & related tooling
• Development of an automated car damage assessment tool based on deep learning for insurance claims
• Development of a route planning engine based on metaheuristics for logistics and task scheduling
• Development of a custom tool for model deployment, experiment design and metric monitorization
• Also real-world impact with recommender systems, forecasting, dynamic pricing, fraud detection, etc.

Software Engineer at Itoptraining

May 2016 - August 2017

• Development of machine learning models (clustering, markov chains, random forest, ...)
• Data engineering pipeline
• Web services and API development
• Ingestion and parsing of documents in different formats
• Unit & Integration testing

Software Engineer at Indoors

August 2015 - February 2016

• Development and maintenance of web solutions as part of an agile software development team
• Full stack (backend & frontend) web and API development
• Write and maintain unit test cases
• Maintain the technical documentation
• Provide technical support to our customers
• Communicate requirements and dependencies of the component within the system with other team members

Software Engineer at Oviceversa

March 2014 - July 2014

• Software development (frontend and backend) of new business lines for an online travel agency
• Maintenance and administration of the server infraestructure

Software Engineer at ClowoD S.L.

May 2013 - October 2013

• Design and implementation of the front and back end for a smart home server (router, personal cloud, home automation, machine learning...)
• Development of an E-commerce site for the platform based on Magento

Internship at Institute of Physics of Cantabria

October 2012 - February 2013

• Adapting applications that can benefit from using a High Performance Computing system.
• Collaboration in the study of visualization, paralelism and data access requirements of those applications.
• Integration of the applications with the users as well as monitoring the execution
• Development of Agent Based Models using the Pandora framework (C++).

Technological development grant at Institute of Astrophysics of the Canary Islands

July 2012 - September 2012

• Development of a simulator for the grism and filter wheel controller of the EMIR project for the GTC telescope using Python
• Unit testing with pyUnit
• Documentation of all the work and public presentation of the project

Internship at Diseniumweb

November 2011 - April 2012

• Collaboration in the conceptualization, elaboration and visibility of web projects in web development agency.

MSc Professor at MIOTI

November 2017 - August 2020

• Teaching Reinforcement Learning, Data Preprocessing and Data Visualization

MSc Artificial Intelligence Research Universidad Internacional Menéndez Pelayo

September 2017 - October 2018

• Master Thesis: "Regularization methods to improve the performance of Deep Learning"

MSc Informatics at Johannes Kepler University

September 2014 - July 2015

• Master Thesis: "Implementation of the Probabilistic Traveling Salesman Problem in HeursticLab framework"

BSc Computer Engineering at University of Cantabria

September 2007 - March 2013

• Bachelor Thesis: "Scatter Search and Path Relinking based metaheuristics to solve the Fuzzy Job Shop scheduling problem"

Erasmus Exchange Programme at University of Maribor

September 2010 - July 2011

• Excellence Scholarship

Programming

• Java
• Scala
• Go
• SQL
• C#, C++
• Android
• Python
• MPI and OpenMP

Data Science

• Python (Jupyter, pandas, NumPy, Scikit-learn,matplotlib,...)
• Apache Spark
• Hadoop (with Impala)
• TensorFlow (with Keras)
• Machine Learning, Deep Learning and Statistics core concepts
• Participation in several Kaggle competitions

Databases

• SQL: SQL Server, Oracle, MySQL, PostgreSQL, SQLite
• NoSQL: MongoDB, Cassandra, Hadoop
• Case Studio and Visio
• Business Intelligence Development Studio

Operating Systems

• Microsoft Windows
• Linux

Others

• VCS (Git, Mercurial, Subversion)
• Cran R and Knime
• Matlab and Octave
• Agile and Scrum Development
• Algorithm design, implementation and debugging

Spanish

(Native)

English

(Certificate in Advanced English C1)

German

(Basic Level)

Online Course of Android: Application Development at University of Valencia

May 2013

Online Course of Introduction to Parallel Programming at Udacity

May 2013

Online Course of Machine Learning at Stanford University

April 2013

Course in occupational risks prevention in construction at University of Cantabria

February 2009