Pricing Analyst | MSc Data Analytics
Hello! I’m Jose, a Spaniard who has been living in Ireland for six years. Currently, I work as a Pricing Analyst at Cardinal Health, supporting commercial teams with data migration and visualization, ensuring accurate data flow between Salesforce and SAP.
I recently graduated with a Master of Science in Data Analytics from CCT College, Dublin, where I developed skills in Machine Learning, Data Preparation & Visualisation, and Big Data Processing. My final project focused on building a Federated Learning (FL) server to simulate real-world decentralized model training, enhancing model accuracy for various scenarios.
This experience gave me hands-on expertise in advanced data systems, and I’m passionate about leveraging data to drive impactful business solutions. I’m excited to take on new challenges as I continue my journey in data analytics.
Apr. 2020 - Present
Creating and automating reports through SQL and Python based on stakeholders' requirements. Building dashboards in Power BI to drive insights regarding KPIs. Maintaining offers and tenders prices in SAP, ensuring accurate uploads to avoid future price discrepancies. Investigating customer price discrepancies and implementing preventive measures to enhance the company's financial health. Collaborating with the analytics team to design, develop, and deploy powerful business metrics and reporting.
Jan. 2019 - Mar. 2020
Identifying and escalating cases regarding safety according to Facebook policies. Enforcing and improving Facebook policies by working closely with the global policy team. Monitoring trends and rating performance across Spanish communities, researching and troubleshooting variations in performance.
Mar. 2017 - Oct. 2018
Managing fraud prevention related to inappropriate brand use. Analyzing performance data to enhance productivity and quality ratios, considering customer feedback. Developing and implementing quality product standards to meet ISO 9001:2015 quality standards and ISO 14001:2015 environmental requirements.
Oct. 2014 - Nov. 2016
Managed orders, stock, and inventory while maintaining strong customer relationships. Oversaw a portfolio of nearly 200 client accounts, acting as the primary liaison between the consumer and the corporation.
CCT College, Sept. 2023 - Oct. 2024
Grade: 6.2 (Second-Class Honours)
Level 9 National Framework of Qualification (NFQ)
Dublin Business School, Sept. 2020 - Sept. 2022
Grade: 7.3 (First-Class Honours)
Level 8 National Framework of Qualification (NFQ)
Dublin Business School, Sept. 2019 - May 2020
Level 7 National Framework of Qualification (NFQ)
University of Alicante, Sept. 2010 - Jun. 2016
Level 6 European Qualification Framework (EQF)
Python, R, C#, JavaScript
SQL, HTML, CSS, LaTeX
Tableau, Power BI, Linux
SAP & Salesforce
K-Means, GridSearch, NN's, CNN's
Hadoop, Spark, MapReduce, Hive, Cassandra, MongoDB
This project investigates Federated Learning (FL), a decentralized machine learning approach that enhances data privacy. It evaluates five popular FL frameworks and develops a cross-client horizontal FL server for both technological and medical scenarios using IID and non-IID data. The findings reveal improved model accuracy in the technological scenario but a slight decline in the medical scenario. The research highlights the potential of FL while identifying limitations and areas for future improvement in server infrastructure and privacy concerns.