Accelerate your projects
Let us help you with your next project. We integrate with your technical team in a dynamic way, to provide you with solutions in a short term.
Let us help you with your next project. We integrate with your technical team in a dynamic way, to provide you with solutions in a short term.
Fast and flexible Data staff augmentation - scale up or down
Seamless team integration at any stage of your System Development
Quickly integrate outstanding engineers that increase your team's capacity
Beneficial for both, Americas and Europe
experience in multiple technologies and domains
- Design and develop predictive models (R, Python, Pandas)
- Strong experience in languages, libraries and data analysis tools
- Machine learning specialist (Scikit-Learn, Tensorflow)
- Knowledge of applied statistics
- Graphical analysis experience
- Minimum 4 years experience in Computer Vision
- Solid knowledge in image tracking, detection, recognition and processing
- Extensive management of Python and / or C ++
- Solid experience in Machine Learning, specifically Deep Learning
- Experience with Tensorflow, scikit-learn, OpenCV
- Solid knowledge in linear algebra
First certificate in Latin America as a Tensorflow Developer
- Extensive knowledge of the fundamentals of Databases and Big Data systems
- Design and develop data pipelines for continuous ingestion to Data Warehouses and Data Lakes
- Mastery of data integration techniques, mainly from non-relational sources
- Ensures that data can be properly consumed by the different teams within the organization
- Experience in collaborative data analysis platforms
- Proficiency in programming languages, libraries and data analysis tools
- Extensive knowledge of the fundamentals of Databases and Data Warehousing systems
- Design and implement multidimensional data models (cubes with their dimensions, hierarchies, facts and measures)
- Designs and develops extract, transform, and load (ETL) routines for data integration from various sources
- Experience in building dashboards and data visualizations using state-of-the-art platforms
- Domain of relational databases and SQL
- Data quality basics
- Extensive knowledge of the fundamentals of Data Quality in Information Systems
- Based on the multi-dimensional approach to the concept of quality (dimensions, factors, metrics and measurement methods), it develops Quality Models
- Designs and implements in conjunction with the client Data Quality Management processes that are transversal to the entire organization that promote evaluation and continuous improvement
- Experience in running Data Profiling to explore a data set for signs of data quality issues
- Domain of relational databases and SQL
- Ensures that the visions of the technical and business areas are aligned
- Understand the challenges from a business point of view by identifying the main pain points, based on which it helps to define the best data strategy
- It helps to keep the project focus on the value that is contributed to the business, preventing it from deriving in efforts that do not generate value
- Together with the client, define what will be the success criteria of the project to enhance ROI