As the Head of Data, my role encompasses a range of key responsibilities within the data domain, including data science, data engineering, and cloud architecture: - Strategic Data Leadership: I provide strategic guidance in the development and execution of data strategies aligned with our clients' business objectives, ensuring we navigate the path toward data-driven decision-making. - Project Oversight: I manage end-to-end data projects, with a keen focus on meeting and surpassing client expectations. This involves meticulous coordination of cross-functional teams to deliver solutions on time and within budget. - Data Science Management: I orchestrate data science initiatives that leverage advanced analytics, machine learning, and artificial intelligence to glean actionable insights, enabling clients to make well-informed decisions and gain competitive advantages. - Data Engineering Management: I oversee the design and implementation of scalable data pipelines and architectures to optimize data collection, storage, and processing. - Cloud Architecture Strategy: I strategically plan and architect cloud-based solutions, harnessing cutting-edge technologies to enhance data accessibility, security, and scalability. - Client Engagement: Building strong, enduring client relationships is a top priority. I actively engage in client consultations to gain an in-depth understanding of their unique needs and tailor data solutions accordingly, ensuring alignment with their evolving goals. - Team Development: I foster a culture of continuous learning and growth within the data team, supporting their professional development to remain at the forefront of industry trends and best practices. - Results-Oriented Approach: I closely monitor project outcomes, tracking success through key performance indicators and client feedback. This ensures that our data solutions consistently deliver measurable business value.

Instructed a module in a postgraduate course, focusing on Big Data tools. This module included detailed lectures and hands-on sessions on the Hadoop and Spark ecosystems, specifically tailored to address their application in resolving business challenges.

Coordinating Data Science, Analytics engineering, MLOps and AI Research teams in focused on identifying business opportunities and creating data based strategies.

Coordinating data science projects that need business understanding from several areas. Analyzing data and producing machine learning models with different goals.

Working with all the data pipeline, such as data engineering to handle stream and batch processing and data science to analyze data and produce machine learning models with different goals.

Instructed a module in a postgraduate course, focusing on Big Data tools. This module included detailed lectures and hands-on sessions on the Hadoop and Spark ecosystems, specifically tailored to address their application in resolving business challenges.

Manager of the data science team, coordinating projects with different goals that required several skills and knowledge to face and give solutions to projects like energy price forecasting, investment optimization and data analysis.

Worked with Data Science projects that were integrated to the products of the company

Responsible for the technical part of one of the Startups finalist of the Lemonade program with a digital marketing bias

Research project focused on fixed parameter tractable algorithmns on graphs.