As more companies invest in data collection and storage, bringing on a team of experienced Data Scientists to process unstructured data into solutions is a necessity. At Tiempo Development, teams of Data Scientists with unique backgrounds and areas of expertise are ready to support data-driven decisions based on analytics and mining..
Tiempo Data Scientists are highly experienced in servicing data integration, data discovery, data mining, and behavior analysis of your company’s data ecosystem. Our team members come from a wide variety of backgrounds including predictive analytics, data visualization and analytics. We work with our clients’ business goals to find value within data through a rigorous ETL and automation process, business projection optimization and modeling.
Tiempo Development uses Agile methodologies to help refine the value proposition by working side-by-side with the members of our clients’ IT team to ensure the successful implementation of technologies and strategy. Our team also has the scientific expertise required to create and deploy extremely complex algorithms.
Our Data Scientists have a wealth of experience in working with all major database architectures and Database Management Systems, including:
Tiempo Data Scientists are equipped with a variety of data mining and automation tools to scale solutions as needed. We also help our clients configure and connect analytical tools for cross-department solutions, such as:
While many of our clients are large corporations with complex infrastructures and data volumes, our services will also help mid-sized companies realize the worth of their data. Our service pairs companies with experts, no matter the industry or data requirements. Some of our recent projects include:
– Based on system and user account logs analytics, a method was proposed for account sharing detection. This method helped the company to construct new business rules automated filters that reduced significantly their loss of revenue by users violating the service agreements.
– Our Analytics team helped a large Human Resources Assessment company, in the data integration of Human Resources employee candidate’s assessments databases with the periodic incoming employee performance metrics once they were hired, setting a data warehouse platform for further data analytics implementation of performance metrics monitoring.