Data Science

We believe in leveraging data-driven sciences to power your innovation, whether you need to develop new products, improve sustainability, or benefit society.

Focal Points

Bussines Domain Assesment

Domain expertise is a vital component of effective analytics. At Inspiralia we don’t use.

Product Gaps

Expert data scientists don’t just apply business statistics to cut-and-dry datasets. Machine learning and analytics find gaps in business or the marketplace that even top management don’t know about. Our tools find opportunities that drive products forward.

Data Modeling and Software Engineering

Our expert data scientist will provide actionable strategies and implementations leveraging industry-standard practices and field expertise.

The team specializes in:

Data Engineering

Analysis starts with raw data. However, obtaining and cleaning that data isn’t always easy. Whether its web crawling, cloud warehousing, or a full data pipeline, we’ll help gather and transform the data you need so it’s ready for use.

Machine Learning

Theoretical and application of machine learning algorithms in regressing, classification, and dimensionality reduction/feature selection.

Visualizing and Reporting

The team will help you make sense of data with clear and concise reports, intuitive visualization, and constant 2-way communication.

Natural Language Processing

Bring statistics and computation to unstructured text data; let sentiment analysis and language modeling make the most of unwieldy natural language corpora.

Case studies: