Pau Diaz Gallifa Email & Phone Number

Catalonia, Spain

Sant Cugat Del Vallès, Catalonia, Spain

Responsibilities:- Led and mentored engineering teams, creating a culture of collaboration, growth, and high performance.- Oversaw project planning and delivery to align with strategic objectives and customer needs.- Establish engineering best practices, focusing on code quality, testing, and robust documentation.- Collaborate with cross-functional teams.

Sant Cugat Del Vallès, Catalonia, Spain

I led the creation of an in-app data migration solution integrated with the AlayaCare web app, enhancing client onboarding. I implemented an AWS-based pipeline using S3, Step Functions, and Batch Jobs, improving data load efficiency and reducing user pain points. Acting as Scrum Master, I managed agile ceremonies, sprints, and support ticket distribution.

Sant Cugat

In my role as Senior Data Developer and Tech Lead, I directed both the operational management of data migrations for all new clients and the continuous development and improvement of migration tools to meet AlayaCare's growth needs. I transformed the migration process from a locally managed workflow to a scalable, Dockerized solution hosted in Jenkins.

Montreal, Canada Area

AlayaCare is an end-to-end home health care software platform, focused on providing better patient outcomes through the use of robust clinical documentation, exceptional back office solutions, and next-generation technology such as integrated Portals, Virtual Care, Remote Patient Monitoring and Machine Learning.At Alayacare I am leading data integration..

Montreal, Canada Area

PapayaNaranja is a creative, young and small marketing-based company that offers new communication channels to their customers (mostly from small business). My role was to analyze and define target profiles and to establish better connections between the company and its social network followers.

Montreal, Canada Area

This is a 100+ hours online course that covers some of the most recurrent topics in Data Science. These topics include programming skills training (mostly Python), data wrangling (Pandas), storytelling (data visualization: Matplotlib, Bokeh, etc), inferential statistics, machine learning and the realization of a original capstone project.The inferential.

Santa Cruz De Tenerife, Spain

I successfully accomplished the objectives and challenges proposed for my Ph.D. in Solid State Physics. The results obtained shed light on two key points in the field: (1) a synthetic route to design magnetic dryness sensitive materials with a tunable porous capacity in function of dryness (potential application in gas storage) and (2) the activation.

Greater Boston Area

I visited the MIT during my Ph.D. The aim of this stay was to dive into specific methods for measuring gas storage capacity and electrical conductivity in molecular materials. I gained experience in chemistry procedures such as working in glove-box and cation exchange (post-synthetic technique). The weekly group meetings enhanced my data visualisation and.

Grenoble Area, France

During my Ph.D. I visited several times the Institut Laue-Langevin for 2 long-term stays (more than 2 months) and several weeklong experiments. The ILL is a facility with a nuclear reactor used for neutron research purposes. I analyzed tonnes of data from neutron experiments I performed in this institute. I worked hand by hand with scientists and engineers.

Santa Cruz De Tenerife, Spain

Right after finishing the master degree I landed a job in a research group focused on molecular magnetism. I was mainly focused on using techniques such as single crystal and powder diffraction and magnetometry and getting a deep understanding of synthesis processes. I designed and performed experiments to grow crystalline materials looking for specific.

Bachelor’S Degree, Degree In Physics

Machine Learning: Regression, 96.5

Activities and Societies: Machine Learning: Regression. 6 weeks of studyIn this course, I learned the many concepts, algorithms, and.

Machine Learning: Classification, 91.1

Activities and Societies: Machine Learning: Classification 7 weeks of study.In this course I have analyzed sentiment, I created models.

Machine Learning, 92.5

Machine Learning: Classification by the University of Washington on Coursera. Certificate earned on April 27, 2016. This course covers a.

Doctor Of Philosophy (Ph.D.), Physics, Cum Laude

Ph.D. in the field of Solid State Physics.

Master'S Degree, Mphil: Crystallography And Crystallization

Master degree in Crystallography and Crystallization. This master focused on crystallization and characterization methods. International.

Erasmus Student

Bachelor’S Degree, Degree In Physics

Education record