Hi there! I am Daniel Mateos San Martín: maker, Data Scientist, and Educator.
Check out my Linkedin profile and connect if you are interested. You can follow my Fab Academy journey here!
Summary
I am a Multidisciplinary maker and educator with skills in 3D design, printing, metalworking, electronics, programming, and education. I have developed careers in the fields of biology, data science, and education. I am currently in transition to employment that uses my skills in electronics, metalworking and digital fabrication.
My trajectory
In the past I’ve been am a Data Scientist and educator based in Madrid, Spain. I taught programming, Big Data, Machine Learning, Visualization and Bioinformatics at business schools, universities, and in-company trainings. I also did consulting engagements on a per-project basis. A looong time ago I did a PhD in Bioinformatics applied to Developmental Biology and then pivoted to Data Science.
I have developed Big Data software in large teams with current methodologies: Agile, Continuous Integration and Delivery, Unit Testing, and of course Distributed Version Control. I have seen several Big Data software products to production. I am fluent in Scala, Python, and SQL, and have written code in several other languages.
I know Statistics and Machine Learning, including Deep Learning for image processing. I know how to integrate into a team and learn the specifics of the business that I need to be effective at my job.
My original love is for biology, particularly Developmental Biology and Regeneration.
I’ve had a number of hobbies over the years including, but not limited to, foam RC planes, 3D printing, woodwork, and cycling.
Full CV
You can find a pdf copy of my full CV in English here
General Experience
MBD Analytics, Madrid, Spain. 2021 – 2023
Senior Data Scientist
I performed internal upskilling and acted as technical lead in projects with customers.
I acted as the expert of last resort and I communicated with the (technical and non-techical) representatives of the customer regarding progress, technical challenges and feature decisions.
K School, Madrid, Spain. 2018 – 2023
Technical Director, Master in Data Science
I organized and ensure smooth running of the academic aspects of the Master’s title in coordination with the Director.
Universidad San Pablo CEU, Madrid, Spain. 2018 – 2020
Lecturer, Bachelor’s Degree in Biomedical Engineering and Master’s Degree in Biomedical Engineering
Developed the materials for and taught the Bioinformatics-focused courses in the Biomedical Engineering curriculum, as well as the Numerical Methods and Algorithms and Data Structures courses, at both undergraduate and graduate levels.
Yogen, Madrid, Spain. 2017 – Present
Founder, Data Scientist
I led projects with institutional and private customers in order to transform vast amounts of data into insight and actionable information. I planned projects, wrote analysis code and designed visualizations.
K School, Madrid, Spain. 2015 – 2023
Lecturer, Master in Data Science
I taught data exploration and data mining, using the Python scientific stack and Spark for large scale data analysis to prospective Data Scientists. I prepared my own class materials and exercises, deliver lectures, and support colleague’s lectures. I was consistently rated above 90% by the students in the anonymous feedback we collect.
Amadeus IT Group, Madrid, Spain. 2014 – 2016
Data Scientist, Travel Intelligence Unit
I applied Big Data techniques (Spark, MapReduce, Scala, Scoobi, SQL on Impala) to analysis of large-scale airline datasets to produce live dashboards and reports, and the Python scientific stack (pandas, scikit-learn, seaborn) for data mining, statistical inference and visualization. I developed a core module of a data product now generating six-figure revenue anually and participated in many others.
Centro Nacional de Investigaciones Cardiovasculares, Madrid, Spain. 2008 – 2013
Graduate Student researcher, Miguel Torres lab
ChIP-seq analysis of TALE proteins genome-wide binding sites. I used Python scripting and R programming to generate insights into a next-generation sequencing dataset of transcription factor binding in the mouse genome. I also performed experimental confirmation of the resulting conclusions, which were published in international peer-reviewed journals.
CBM Severo Ochoa, Madrid, Spain. 2017 – 2008
Laboratory Technician, Javier Díaz Nido lab
I carried out a pilot project to use human olfactory epithelium primary culture as a neurodegenerative disorder model system.
Publications
see research
Languages
Skills
Scala – Python – SQL – Linux – R – Java – Big Data – Latex – Excel – Statistics – Tableau – Machine Learning – Spark – Version Control (git) – Confocal Microscopy – Animal Models – Molecular Biology – Bioinformatics – NGS – Teaching – Research
Education
Universidad Autónoma de Madrid, Madrid, Spain. 2009 – 2013
PhD, Molecular Biosciences.
Universidad Autónoma de Madrid, Madrid, Spain. 2008 – 2009
MsC, Molecular Biology.
Boston University, Boston, Massachussets. 2006 – 2007
International Exchange program.
Universidad Autónoma de Madrid, Madrid, Spain. 2002 – 2007
BSc, Biochemistry.
Academic Honors & Awards
Premio extraordinario de la Licenciatura en Bioquímica.
Dean’s List, Boston University.