Description

An accomplished Computer Engineer specialized in machine learning & data analytics with strong abilities in: Deep analytics, business intelligence, functional analysis, statistics, and big data infrastructure mining. Active member of Kaggle community and Tech Talks presenter. Passionate about technology, Open-Source frameworks and AI.

Versatile data specialist with scientific mentality and the ability to ask the right questions, as well as answer them and then forge them into the Operations Architecture and ITSM processes.

Competencies: data science, cloud computing, Hadoop, R, python, Git, Greenplum, data engineering, BI tools, machine learning.

Industry field of expertise

Languages

Spanish
Native or bilingual
English
Fluent
Polish
Basic

Workplace preferences

Can work on-site

Las Palmas de Gran Canaria (up to 50km), Valencia (up to 30km), Málaga (up to 50km), Alicante (up to 50km), Sevilla (up to 40km)

Landis & Gyr
Machine Learning & Data Engineering Lead
ENERGY AND UTILITIES
March 2023 - Today (3 years and 3 months)
Sevilla, Spain
On this role, our team supports #AI #DeepAnalytics # IoT and #Innovation through solutions that empower utilities and bring unprecedented growth to the energy management industry.
IA MLOps Google Cloud Platform (GCP) Airflow Vertex AI BigQuery Electrical industry Smart Metering Electrical Engineering Cross-functional Team Leadership
MIT university
Learning Facilitator
EDUCATION AND E-LEARNING
November 2022 - Today (3 years and 7 months)
As Learning Facilitator in the Data Leadership program, my role is in collaboration with MIT Professor and Global Alumni to support program students to cohesively consolidates the objectives of making relevant data accessible to decision-makers at every level of them organization.

The main goal of the program is to provide the tools and techniques to the student for transforming the corporation’s operations, management, and mindset to leverage data, AI, and cloud computing.

My duties:

1. Encourage assistance to Faculty Webinars and provide mentoring during weekly office hours.
2. Monitor the program and track participants’ progress.
3. Grade assignments and provide individualized feedback.
4. Respond to participants’ questions and support them with their assignments.
5. Encourage participants to engage in the forums on the Virtual Campus.
6. Inform participants about deadlines and submission procedures for assignments.
Teaching Data Analytics Machine learning Team Leadership Learning & Development
Smart Data
Data Domain Expert | Data Analytics Degree Instructor
TECH
November 2021 - Today (4 years and 7 months)
España, Spain
As an entrepreneur, I decided to create a consulting company, Smart Data. The first pillar of Smart Data is to support other companies in the journey of shaping the data analytics practices.

Providing data modelling, pattern analysis, data visualization and machine learning solutions to address my customer’s needs. Lead, establish and implement a data strategy to provide actionable insights that translate into data-driven business decisions. Build predictive solutions like: Experimentation for model for customer retention, image and text classifications, A/B testing, forecasts & recommender systems.

The second pillar of our business is facilitating the use of data intelligence & RPA in our customers’ organizations. Designing, developing and implementing logical infrastructure solutions aligned with the technology standards & client IT architecture.

The third pillar, as assistant professor, in collaboration with Global Alumni is to provide mentoring, facilitating sessions, and creating webinars for the data & analytics leadership programs at the best technology universities in the USA.
Machine Learning Process Improvement IA Cloud computing Kubernetes AWS Python E-commerce TensorFlow Analytical Skills Celonis RPA