Zephyr Tech

Data Science

Data science is a comprehensive field that uses scientific methods, processes, algorithms, and systems to extract information and insights from unclean and unstructured data and apply knowledge and actionable insights from data across a broad range of application domains. The data science field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data-driven solutions, and presenting findings to inform high-level decisions in a broad range of application domains. The data science life cycle consists of data acquisition, data processing, data modeling, qualitative analysis and data reporting.
Zephyra Tech has a pool of data scientists who have strong quantitative background in statistics and linear algebra and years of industry experience with focuses on data warehousing, mining, and modeling to build and analyze algorithms. They help business turn unclean real-world data and information into strategic business insights. They are experienced with variety of data analysis tools and had successfully analyzed large data. They help transform unstructured data into visual metrics that can drive business decisions.

Technical Tools and Skills

Technologies and Techniques