Angel Leon Collado, Ph.D Email and Phone Number
I am an aeronautical engineer with experience in mathematical modelling applied to both engineering and big data fields. I have an engineering background along with a PhD in applied mathematics. I am currently working as a senior data scientist at Intrum global technologies. My professional experience ranges from the development of mathematical models for engineering to machine learning and deep learning models. With experience in different sectors such as aeronautics (Airbus, Rolls Royce), railway (Talgo), telecommunications (Vodafone Business) and banking (Intrum), I like to use applied mathematics and machine learning techniques to optimize processes, reduce costs and improve business. In addition, I like to lead teams, create a good atmosphere and have fun at work! The team is the key!
Transunion
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Head Of Data Science & Analytics SpainTransunion Jul 2023 - PresentChicago, Illinois, Us
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Nova Talent MemberNova Talent Jan 2023 - PresentMadrid, Community Of Madrid, EsNova is the global top talent network which connects the top 3% of talent amongst themselves and with the best professional opportunities, helping them achieve their full potential. -
Associate ProfessorUniversidad De Navarra Sep 2020 - PresentPamplona, Navarra, EsAssociate professor in "Master in technological innovation". - Show the optimization algorithms used in neural networks.- Apply deep learning focused on the bussiness of the company. - Make decisions and elaborate a strategy according to the output of the model. -
Senior Data ScientistIntrum May 2022 - Jul 2023Stockholm, Stockholm County, Se• Determine critical success factors for our data product.• Get and keep state-holders on board of all initiatives.• Leading successful data scientist team by identifying problems,• Contributing to create a library infrastructure (building blocks).• Proving business impact of ML models in our business -
Specialist Data ScientistVodafone Business Feb 2021 - Apr 2022London, Uk, Gb- Predict customer churn by means of machine learning and deep learning techniques. - Adobe Analytics to get clients' insights, measure customer campaigns and detect patterns of clients. - Teradata, SQL, pyspark, python, pandas, GCP, data science tool to explore and prepare data for modelling. - Analytical analysis focused on business profitability, measuring campaign and value creation- Propensity models and segmentation models to improve the customer management of the company. - Jira and confluence implementation in the data science team in order to create a robust and collaborative organization and be the onboarding buddy of three data scientists. -
Research Associate On Hybrid TwinImdea Materials Apr 2019 - Feb 2021Getafe, Community Of Madrid, Es- Digital twin simulation from wrinkle manufacturing processes. - Led the numerical research of two PhD candidates. - Wrinkles processing modelling by using finite element method and non-linear regression techniques. - Composite materials crack prediction by means of the finite element method. -
Research Engineer On Hybrid TwinEsi Group Nov 2017 - Jan 2019Bagneux, France, Fr- Application of model order reduction to improve the computational time of in-house software tools. - Studies to assess the sensitivity of model outcomes with respect to input parameters. - A simulations of 3D textile composites: RVE, material virtual characterisation tests were carried out in order to validate the virtual models with experimental results.- A model of 3D textile composite from the micro-to-macro scale was proposed validating all models with experimental results.- Reducing computation cost by 10 times by means of homogenization technique on the simulation of a fan composite blade of Rolls Royce aircraft engine. - A proposal methodology to characterize composite fan blade from experimental test to final mechanical-damage simulation. -
Researcher Phd CandidateEcole Centrale De Nantes Mar 2014 - Oct 2017Nantes, Pays De La Loire, Fr- Modelling composite manufacturing processes as automated tape placement. - Real-time simulation by means of model order reduction techniques. - Decision tree algorithm to understand the most critical features in one surrogated model.- Wavelet and Fourier transform to analyze temporal signal behaviour, spatial distribution and correlation between signals.
Angel Leon Collado, Ph.D Skills
Angel Leon Collado, Ph.D Education Details
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Centrale NantesPhd On Applied Mathematics -
University Of BristolResearch Engineer
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Swansea UniversityApplied Mathematics
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Universitat Politècnica De València (Upv)Aeronáutica Y Astronáutica
Frequently Asked Questions about Angel Leon Collado, Ph.D
What company does Angel Leon Collado, Ph.D work for?
Angel Leon Collado, Ph.D works for Transunion
What is Angel Leon Collado, Ph.D's role at the current company?
Angel Leon Collado, Ph.D's current role is Senior data scientist | Big data | Machine learning | Deep learning | Business insights and analytics | Leadership.
What schools did Angel Leon Collado, Ph.D attend?
Angel Leon Collado, Ph.D attended Centrale Nantes, University Of Bristol, Swansea University, Universitat Politècnica De València (Upv).
What skills is Angel Leon Collado, Ph.D known for?
Angel Leon Collado, Ph.D has skills like Python, Abaqus, Matlab, Ciencias De Los Materiales, Industria Aeroespacial, Simulaciones, Fortran, Mathematica, Catia, Git, Trabajo En Equipo, Vps From Esi Group.
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