Arnau Carol Medina

I specialize in developing generative AI solutions and integrating advanced algorithms to solve complex problems and enhance system capabilities. With expertise in leveraging APIs, I seamlessly connect diverse systems and platforms, enabling smooth and efficient communication between applications. My programming proficiency lies primarily in Python and JavaScript, which I use to design, implement, and optimize AI models and integration workflows. Whether it's crafting cutting-edge AI algorithms, deploying scalable solutions, or building robust integrations, I focus on delivering impactful, intelligent systems that meet the unique needs of each project.

Data Scientist for a digital marketing company that offers services ranging from call center operations, multichannel advertising campaigns, and technological solutions to data analytics. At Accom, I worked with various clients from different sectors, including energy companies, banks, etc. This allowed me to step out of my comfort zone and develop and implement highly creative solutions tailored to each of them.

My main responsibilities included developing data models for identifying opportunities using machine learning and deep learning techniques, creating internal automated scripts to enhance performance across different departments, leveraging data to generate KPIs and dashboards, and building ETL pipelines from various data sources for ingestion into predictive models. We worked in the Google Cloud Computing environment.

Languages and Technologies:

- Python

- BigQuery

- Machine Learning

- Docker

- GitData Scientist for a digital marketing company that offers services ranging from call center operations, multichannel advertising campaigns, and technological solutions to data analytics. At Accom, I worked with various clients from different sectors, including energy companies, banks, etc. This allowed me to step out of my comfort zone and develop and implement highly creative solutions tailored to each of them. My main responsibilities included developing data models for identifying opportunities using machine learning and deep learning techniques, creating internal automated scripts to enhance performance across different departments, leveraging data to generate KPIs and dashboards, and building ETL pipelines from various data sources for ingestion into predictive models. We worked in the Google Cloud Computing environment. Languages and Technologies: - Python - BigQuery - Machine Learning - Docker - Git

Data Engineer for the Risk department of Banco Santander, the most important bank in Spain and the 5th largest in Europe. This great opportunity allowed me to work in an international and multidisciplinary team, with cutting edge technologies and in a very dynamic environment.

During my period at Banco Santander I was working on a project to implement a new calculation engine in the department able to perform the bank reconciliation, i.e. the contrast between the bank's accounting and the transactions stored in the Data-lake. Specifically, my work consisted in developing and automating the scripts to perform this reconciliation.

Languages and technologies:

- Pyspark

- Python

- SQL

- ACL