Data Science Specialist and Analytical Consulting Expert, focused on optimizing business processes through data, machine learning, and artificial intelligence. Role spans from analyzing business needs to designing and implementing data-driven decision-making solutions that enhance operational efficiency and organizational performance.

Develop data-driven strategies, automation solutions, and predictive models to improve decision-making and generate value in dynamic environments. Apply agile methodologies and advanced data analytics techniques to drive innovation and competitiveness across various industries.

Designed and implemented an advanced turnover detection system using Machine Learning models. This system analyses video calls, an essential tool in today's teleworking environment, to identify patterns and signals that can predict employee turnover. Models used include:

• Traditional Machine Learning models
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNN) with Long Short-Term Memory (LSTM)

Data management encompasses video, images and audio, integrating these different formats to obtain a holistic view of employee behaviour and well-being.

Developed a system to identify and analyse the variables that contribute to employee turnover. This system not only detects risk factors, but also allows the company to implement preventative measures, thereby reducing the costs associated with turnover, such as training new employees and finding replacements. This proactive approach helps maintain a stable work environment and retain valuable talent.

Created an automated system for web browsing, using large-scale language models (LLMs). This bot is able to interact with websites autonomously, performing tasks ranging from extracting information to downloading documents. Some of the functionalities include:

• Automatically downloading invoices
• Obtaining specific information, such as Amazon's top three results for 'trainers'
• Searching for nearby flights to different cities
• Improving operational efficiency by automating repetitive, high-volume tasks, allowing staff to focus on strategic, higher-value activities

Each of these projects has been designed with a focus on innovation and continuous improvement, applying the latest technologies in Machine Learning and language modelling to solve real problems in human resources and operations.