Empowering businesses with AI-driven solutions.

What others think about my work.

Optimizing ATM Management for CaixaBank

How I helped Fujitsu transform data management for their largest client in Spain through a real-time dashboard using Qlik Sense.
Challenge
Fujitsu faced the challenge of effectively managing and monitoring CaixaBank’s ATMs and maintenance operations. The previous process relied on multiple disconnected Excel sheets and Access databases, leading to inefficiencies and high support costs. A centralized solution was needed to improve real-time decision-making given the data volume and the critical nature of ATMs.
Solution

As a senior data application developer, I automated data collection and processing entirely using Qlik Sense, a powerful Business Intelligence tool. I designed a centralized dashboard that integrates all relevant data—from ATM statuses to maintenance technician tracking.

The system updates every 15 minutes, providing real-time insights to over 40 team members. Additionally, automated detailed reports are shared with CaixaBank, significantly reducing operational costs for Fujitsu.

IMPACT
LESSONS LEARNED

This project enhanced my technical expertise while allowing me to develop leadership and team management skills in complex projects.

My ability to align advanced technology with business needs was key to the project’s success.

Automating Call Center Transcription Processing

How I helped Fujitsu’s consulting team reduce workload by over 90% with an NLP-based system that automates call analysis.
Challenge
Fujitsu needed to process over 10,000 unstructured call transcripts for a call center. Manual analysis consumed excessive time, caused delays, and was prone to errors, significantly straining human resources.
Solution

I developed an advanced Natural Language Processing (NLP) model using a secure internal instance of Microsoft Azure. The solution automatically summarizes, processes, and classifies call transcripts using AI, ensuring data confidentiality within a controlled environment.

With just a few clicks, the system processes thousands of transcripts, eliminating manual intervention and improving analysis accuracy.

IMPACT
LESSONS LEARNED

This project deepened my expertise in NLP and AI models for large volumes of unstructured data. I also strengthened my ability to design solutions that balance innovation and security in high-confidentiality environments.

Predicting ATM Failures for Ibercaja

How I led an innovative project to predict 60% of failures in Ibercaja’s ATM network using Machine Learning.
Challenge
Ibercaja wanted to improve the maintenance of their ATM network, which experienced frequent breakdowns. The lack of a predictive system resulted in high operational costs and extended downtime.
Solution

I led a three-person team to develop a predictive Machine Learning model using Microsoft Fabric and XGBoost, one of the most advanced classification algorithms.

The model analyzes internal ATM logs to forecast failures, enabling Ibercaja to take preventative actions before issues arise.

IMPACT
LESSONS LEARNED

This project honed my skills in leading innovative teams and implementing advanced predictive models.

It also reinforced my ability to manage projects combining data analysis with operational improvements.

Big Data and Spark Training for IEBS

How I delivered practical Big Data classes to over 70 master’s students, achieving an excellent rating.
Challenge
As a professor in IEBS’s Master’s program in Big Data and Data Science, my challenge was to teach advanced technical concepts like Spark and Distributed Architectures while inspiring and guiding students to apply these skills in real-world business scenarios.
Solution

I developed a practical, dynamic teaching approach, creating hours of video content and hands-on exercises that students could apply directly to real-world use cases, such as predicting pollution peaks using open Smart City data.

I also provided continuous, personalized assessments to ensure each student progressed at their own pace.

IMPACT
LESSONS LEARNED

Teaching strengthened my ability to communicate complex topics clearly and effectively while adapting to diverse learning styles, all with a results- oriented approach.

Predicting Thermal Stress in Farms for Regrowth

How I developed a predictive model to help farmers prevent animal diseases caused by thermal stress, improving animal welfare and farm productivity.
Challenge
Regrowth, an Italian startup, aimed to help farmers prevent animal diseases caused by adverse weather conditions. The lack of a predictive system led to productivity losses and poor animal welfare.
Solution

I developed a predictive analytics model tailored to each farm’s needs. The model, built with advanced Machine Learning techniques, combines local climate data with internal farm data to provide specific recommendations, such as when to adjust animal housing temperatures to prevent thermal stress.

IMPACT
LESSONS LEARNED

This project allowed me to create scalable, customizable solutions for industries like agriculture, applying predictive models in high-impact economic and social scenarios.

It also reinforced my ability to integrate client-specific data with advanced analytics.

Let’s Work Together

Ready to integrate AI into your daily operations?

Contact me and let’s find the best way I can help your organization.