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Iván Palomares Carrascosa

Iván Palomares Carrascosa


Course Instructor

Datacamp | Spain (and East Asia sometimes)


My Portfolio Highlights

My New Course

Understanding Data Science

My New Workspace

Course Notes: Introduction to Deep Learning with PyTorch

AI & LLMs Expert and Leadership Visionary. Trainer. Academic leader/director. Evangelist in AI project management, teaching & innovation.

My Work

Take a look at my latest work.


Understanding Data Science


Course Notes: Introduction to Deep Learning with PyTorch


Introduction to ChatGPT

Authored Curriculum

Take a look at the content that I created on DataCamp.

My Most Recent Course

Introduction to LLMs in Python

4 hours16 Videos54 Exercises3,128 Learners

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

EU Business School | Nov 2022 - Present

Lecturer (part-time): Deep Learning & AI

Lecturer for the “Deep Learning & AI” course, within the Master of Business Analytics and Data Science. EU Business School
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Loyal Guru | Mar 2022 - Present

Head of AI & Machine Learning

Head of the Loyal Guru AI & Machine Learning section. Ownership of R&D-Innovation projects and strategy at the company.

Universidad de Granada | Mar 2020 - Dec 2022

Senior Research Scientist

Member of the DaSCI Andalusian Institute of Data Science and Artificial Intelligence. During 2021, simultaneously served as visiting scholar in Taiwan (see related experience in timeline). From January-2022, guest colaborator. https://dasci.es/personal/perfil/ivanpcugr-es/ Participant in Knowledge Transfer Contract funded by Ferrovial and Spain Royal Academy of Engineering: "AI and Digital Technologies as enablers for the Sustainable Development Goals"

IEBS Business School | Dec 2020 - Sep 2022

Area Director & Training Consultant - Data Science, Big Data and AI/ Machine Learning programmes

Responsible for the Academic Direction of the following programmes (online role): Máster in Business Intelligence & Data Science. Postgrad in Business Intelligence & Big Data. Postgrad in Data Science and Machine Learning. Postgrad in Big Data Marketing Responsible for the design, development and implantation of new study programmes: - Master in Data Science and Big Data. - Postgraduate in Big Data. - Postgraduate in Artificial Intelligence and Machine Learning Teacher, Training Instructor for the following monthly modules: - Supervised Learning II: Decision Trees, Ensemble Classifiers (boostrapping, bagging, boosting), Random Forests. - Recommender Systems: foundations of data-driven personalization, content- based, collaborative filtering and hybrid algorithms. Contextual RecSys. RecSys evaluation metrics and methodologies. Trends, challenges and application domains. - Machine Learning for predictive analysis: ML projects, supervised learning, unsupervised learning. Practical tools used in my teaching: Python, Google Colab notebooks, Pandas, Scikit-Learn, Tensorflow/Keras Masterclass speaker: - Recommender Systems for personalization guided by data (2 masterclasses, Feb'21). - Review of supervised learning (upcoming). - Review of unsupervised learning (upcoming). - Fuzzy classification and clustering algorithms (upcoming) Director of Final Theses (Global Project) for the above programmes. Responsible for talent selection -hunting teaching staff and masterclass speakers and recruiting adviser- in the above programmes.

國立臺灣科技大學 | Apr 2021 - Feb 2022

Visiting Associate Professor

Teaching an intensive practical course with a high focus on engineering and practical development: Machine Learning, from foundations to real-world projects and applications Teaching an intensive graduate course on Decision-Making and Recommender Systems (Spring semester 2020-21)

國立成功大學 | May 2021 - Dec 2021

Distinguished Associate Professor

National Cheng Kung University (NCKU). Distinguished Visiting Scholar funded by the 'NCKU 90 & Beyond' Project of International Talent Recruitment. Higher Education Sprout Project, Taiwan Ministry of Education.

IEBS Business School | Jun 2020 - Dec 2020

Training Consultant and Tutor

Online part-time training Consultant and Tutor, organising learning activities for professionals studying at IEBS Business School. Topics covered related to AI, Data Science and specialised themes in these areas.

University of Bristol | Mar 2020 - Dec 2020

Honorary Status Lecturer in Data Science and Artificial Intelligence


Freelance (Self employed) | Nov 2018 - Dec 2020

Consultor independiente

Project leader in several R&D data science consultancy projects or advisory roles, undertaken between 2018-20 in parallel with academic role. Wriggle Ltd (UK): Project Lead. Research for development of an AI-driven context-aware Recommender System for suggesting promotions/deals in local restaurants for customers in a personalized manner. Cookpad Inc: Project Lead. Research and development of a reciprocal Recommender System engine for suggesting personalized 'user matches', i.e. recommendations for users to connect with other users in a recipe-sharing social network platform. Eureka Inc: Project Lead. Research, development and deployment of personalized recommender engine in Japan-based dating app. Edubots: advisor. Giving guidance on leveraging AI-driven recommender systems in education platform.

The Alan Turing Institute | Oct 2018 - Oct 2020

Project Fellow


Universidad Internacional de Andalucía | Jun 2020 - Sep 2020

Course Director - 'Applied Data Science and Machine Learning' Summer School

Director of the 'Applied Data Science and Machine Learning' summer school, International University of Andalusia, Spain. To be held August 2020. Format: online.

University of Bristol | May 2017 - Mar 2020

Lecturer (Assistant Professor) in Computer Science

Lecturer in Data Science and AI with the UoB department of Computer Science

The Alan Turing Institute | Mar 2019 - Nov 2019

Conference Organizer

Organizer of the 2019 International Conference on Decision Support and Recommender Systems (DSRS-Turing 2019) at the UK's Alan Turing Institute.

Government Digital Service | Oct 2018 - Jul 2019

Academic Mentor & AI Consultant

Academic Mentor and recruiting panel for the Emerging Digital Technology Training Programme: mentoring trainees in Applied Data Science, Artificial Intelligence, Machine Learning and Recommender System projects applicable for governmental projects in different departments/cabinets. Leading execution of these projects from inception to case study to Machine Learning system deployment

University of Essex | Aug 2017 - Aug 2017

Course Instructor

Big Data and Analytics Summer School. Course organizer and instructor

University of Bristol | Apr 2017 - May 2017

Honorary Status Lecturer


ECIT Institute | Apr 2015 - May 2017

Senior R&D Engineer (Data Science & Security Decision Support)

Joint role with research fellow. Working with partners and clients in industry, producing data science/AI based deliverables at Northern Ireland’s secure information technologies research centre. Took part in execution of R&D projects granted by UK and EU funders, as well as writing up new funding proposals and technical reports. Also in charge of investigating Big Data toolsets and technologies for their use in projects being run. Languages used: Python, Scala, Java, SQL/NoSQL

Universidad Internacional de Andalucía (UNIA) | Aug 2015 - Aug 2015

Course Instructor

Course Instructor in Summer course "Android Apps Development"

Ulster University | Apr 2015 - Jun 2015

Consultor independiente

Software development and knowledge engineering consultancy. COBACORE (community based Comprehensive Recovery) Research Project, 7th Framework Programme

Ulster University | May 2014 - Apr 2015

Research Associate


Ulster University | Jan 2015 - Mar 2015

Guest Lecturer


UNIVERSIDAD DE JAÉN | Sep 2010 - Aug 2014

Pre-doctoral Researcher

Ph.D. candidate and researcher in the group "Intelligent Systems based on Fuzzy Decision Analysis". Member of the Computer Science Department

Universidad Internacional de Andalucía (UNIA) | Aug 2013 - Aug 2013

Course Instructor

Teacher in Summer course "Android Apps Development"

My Education

Take a look at my formal education

PhD in Computer Science | Doctorado en Informática (with National Honors) Universidad de Jaén | 2014
PGCert, Soft Computing and Intelligent Systems Universidad de Granada | 2011
B.Sc + M.Sc. (with Faculty and National Honors), Computer ScienceUniversidad de Jaén | 2009

About Me

Iván Palomares Carrascosa

I have built a double passion over my professional trajectory: educating others and Artificial Intelligence. I have taught plenty of AI and Machine Learning-related stuff at universities, business schools and courses internationally. Asia travel fan.

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