I lead the Personalization team at Microsoft working on Reco Systems, NLP, Computer Vision, and other ML solutions.

In addition, I help people understand and apply AI. Whether you want to switch your career to Data Science, land a job in a big tech company, grow your Data Science career, or apply AI to your business, I can help you.

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Blog: https://bit.ly/miguelgfierro
GitHub: https://github.com/miguelgfierro
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Miguel Fierro

CeADAR Ireland

Manager and Lead Architect at Ireland's National Centre for Artificial Intelligence.

• Member of CeADAR's technical committee, part of the EU-funded ICOS project open call selection committee, lead of several projects' streams as well as in AI robustness. Creating AI PoCs and products for industry partners and customers, presenting in seminars and plenaries to large audiences, proposing data architectures, defining and writing project proposals for national and European funding mechanisms, mentoring data scientists, and leading multiple data science projects concurrently.

• Task lead in the EU project O-CEI in AIOps, data management, and observability (Jan 25-Present)

• Task lead in the EU project MANOLO, providing high-level oversight to researchers and partner organizations as part of the technical coordination organization. Contributor to the project architecture and research advisor regarding continual learning, model robustness, and meta-learning (Jan 24-Present)

• AI Infrastructure lead at Ireland's National Centre for AI (May 23-Present)

• AI Lead in several industry projects in the energy domain, architecting and designing AI-driven solutions for business partners and customers (Sept 22-Present)

• Work Package and task lead in the EU project ICOS while leading and mentoring the senior data scientists in charge of building an AIOps AIaaS framework to optimize the MetaOS performance in the edge-to-cloud continuum (Sept 22-Present)

• Involved in hiring processes, onboarding, interviewing, and helping in the selection of data scientists (Sept 20-Present)

• Led a team of Data Scientists in the project PeRCEPTION, developing a software platform focusing on optimizing the efficiency of food product manufacturing and minimizing waste. Partially involved in preparing the data architecture and coordinating the ingestion and transformation of heterogeneous data sources and the application of different predictive models (Tensorflow and Pandas) (Sept 21-Aug 24)

Data Science Architect

Lead Data Scientist and senior individual contributor in the Innovation & Development Group at Ireland's National Centre for Applied AI (CeADAR - UCD).

• Applying Artificial Intelligence research to industry, working on PoCs and innovating for our customers; presenting in seminars; proposing data architectures; defining and writing proposals (e.g. state of the art reports and project proposals); mentoring data scientists and leading multiple data science projects concurrently.

• Led the data science team in a document layout understanding project. Partially involved preparing the data architecture, ingesting data, preparing large and heterogeneous data sources and applying different predictive models and LLMs using Python (Pytorch, Huggingface and Pandas) & Shellscript (April 2021-March 2023).

• Involved in the design, acquisition, expansion, setup, and testing of HPC infrastructure [LEON cluster] (Sept 2020-Present).

• Involved as a task leader team member in several work packages and experiments of the H2020 project EUHubs4Data; helping to collect open data sources and standardize data-driven services of Digital Innovation Hubs across Europe using Python in containerized applications, designing data architectures and writing reports and deliverables (Sept 2020-Present).

Senior Data Scientist

Experienced Data Scientist, technical individual contributor, and grads-mentor in the Innovation & Development (core) team @ CeADAR - University College Dublin. 

• Working on PoCs; presenting in seminars; processing, analyzing, and modelling different types of data; writing of state of the art reports and mentoring junior data scientists.

• Ingesting, cleaning, preparing large datasets from different data sources (e.g. weather, SCADA, ...), and applying different predictive models as part of the FREMI (Forecasting Renewable Energy with Machine Intelligence) project using Python (Keras, Scikit-Learn, Scikit-Multiflow, Pandas, SQLAlchemy), SQL & Shellscript (Feb 2019-May 2020). 

• Developed an end-to-end web application to process large amounts of food images and recognize impurities using Python (Flask, Scikit-Image) and Javascript (Nov 2018-Jan 2019).

Data Scientist II

Deloitte Ireland

Data Scientist (Senior Consultant / senior technical individual contributor) using the Hadoop ecosystem in a Big Data Surveillance-Analytics project. 

•	Applying business rules to communicate findings through stories, being the SME of several data sources, writing technical reports, presenting findings, showcasing our team's abilities, training senior stakeholders on the client side and mentoring new joiners in our team.

•	Exploring, modeling and explaining complex scenarios; understanding, analyzing and adding sense to massive and semi-structured big data sources using tools such as Spark, Hive and Pig; and designing tools and algorithms to process, parse and filter data using distributed processing technologies.   

•	Other technologies: Hadoop, Java, Spark, Python, Hive, Impala, Zeppelin, Notebooks, HUE, Datameer, MS Excel, WEKA.

Data Scientist – Senior Consultant

Data Scientist (technical individual contributor) in Analytics & Information Management at Deloitte Technology. Senior Data Analyst and Developer using the Hadoop ecosystem on the client side in a Big Data Surveillance-Analytics project in a global banking and financial institution. 

• Technologies and Languages: Hadoop, Spark, Pig, Hive, Impala, HUE, Datameer, MS Excel; SQL, Python and Java.

Data Scientist - Consultant

Technical data analyst and full stack developer at the Advanced Analytics team in Deloitte Ireland. Worked in different PoCs and different projects listed below.

•	Understanding, analyzing and adding sense to massive and semi-structured big data sources using tools such as Hadoop, Hive and Pig. Exploring, modeling and explaining complex scenarios in a Big Data Surveillance-Analytics project. Designing tools and algorithms to process, parse and filter data using distributed processing technologies (Feb 2016- Sep 2018).

•	Developing an end-to-end Insurance-Analytics portal using Liferay MVC, Java Servlets, Hibernate, Javascript Underscore, Bootstrap CSS and an encrypted MariaDB database as Full-stack Developer and Database Lead. (Aug 2015- Jan 2016)

•	Database modeling, database performance optimization and reconciliation analysis using fuzzy-matching algorithms on SQLServer in a banking institution client. (May 2015-Jul 2015)

•	Producing data visualization & topological analysis reports using Javascript (D3.js, Highcharts), R (ggplot/ggmap), Tableau, Datameer & Excel for several proposals.  (Feb 2015 - Apr 2015)

•	Other technologies: Hadoop, Java, Spark, Python (NetworkX, NumPy, Pandas), Hive, Impala, Zeppelin, Notebooks, PostgreSQL, MySQL, MS SQLServer, HUE, Datameer, MS Excel, WEKA, JSP, CSS (Sass), HTML, *nix, Apache (Tomcat), Git.

Analytics Analyst II

BPM Marketing Ltd.

•	Analysed big data sets of information to support decision-making processes in the Google Adwords domain to improve the quality of the adgroups and keywords.
•	Application of instance-based Machine Learning algorithms to forecast potential revenue and support decision making.
•	Developed processes to support online marketing and business operations (bidding algorithms).

•	Technologies: R, Git, SQL, Stanford CoreNLP (Java), and Amazon Web Services (AWS).

Data Analyst

Vodafone

Business Analyst & Data Engineer trainee in the Data Analytics & Engineering team "Efficiency".

•	Data Modelling and performance optimization over large scale queries. Improving speed and scalability of daily data ingestion processes and automatic reports.

•	Analyzing and Reporting findings from calls to customer care agents using several KPIs.

•	Working for Customer Care Efficiency, and Frequency of Calls (to Call Center) reduction department, developing automatic ETL processes in order to support cross-functional projects to reduce costs over the main KPIs of the customer care area and measure the impact of initiatives to make improvements, based on impact and feedback.

•	Technologies: MySQL, Teradata SQL Assistant & Warehouse Miner, Business Objects, PHP, Javascript,  Visual Basic, MS Access and MS Excel.

Business Analyst & Data Mining Engineer

Offertenerife

•	Full-stack development (both frontend and backend development) building an E-commerce platform using Magento as CMS. Managing a cross-functional team during the platform creation; choosing suppliers, Internet vendors, helping in the front-end design and recruiting people in order to setup a new startup.

•	Technologies: PHP, CSS, Javascript, SQL, Shell-Script and Apache, using Linux/Unix systems, Amazon (AWS).

Full-stack developer

Outleo Ecommerce S.L.

•	Frontend development in an E-commerce platform. Leading and managing a small software development team.

•	Technologies: PHP, CSS, Shell-script, Magento, Bitnami, Alfresco, Subversion and Apache hosts, using Linux/Unix systems and Cloud Computing (Amazon AWS). ·

Web Developer

VS Impresiones

Summer internship doing Network & Systems Support and graphic design at VS Impresiones.

Systems Administration & Graphic Design intern

I’m a full-stack data scientist who nowadays leads artificial intelligence projects. 
I hold a PhD in AI, and I've been analysing data, developing data pipelines, and researching on machine learning for big data streams since 2012. I started my data science career in 2013, and I've worked in companies such as Vodafone Spain, Deloitte Consulting Ireland and CeADAR Ireland since then. 

For more: about.me/suarez-cetrulo ¦ www.datastruggling.com/about

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Miguel Fierro

Andrés L. Suárez-Cetrulo, PhD

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