Data Science Services

A data science agency with a proven scientific approach.

We follow a proven scientific approach to all of our data analytics engagements. Data analytics works most effectively when it is applied to answer a question or prove a theory.

Our methodology is one of partnership with our customers combined with approach to uncover actionable results as quickly as possible.

In particular we recommend spending time identifying the question you need to answer or theory you want to test. We also suggest auditing and gathering all of the data you have relevant to the project no matter the quality or format. We’ve found that we can process and use many different sources of data to improve results.

To learn more about how to prepare for your next project with a data science services company, see our insight post “How do I start using my data?” Review our case studies to get inspiration from other successful Freya customers.


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Our Data Science Software Development Techniques

Predictive Modeling

Predictive Modeling

Predict events of significance to your operations and improve confidence.

Statistical Modeling

Statistical Modeling

Perform analysis with limited data sets and still gain key insights.

Machine Learning

Machine Learning & Neural Networks

Take your insights to a deeper level using all of your data.


Data Wrangling

Data Wrangling & ETL

Organize your data into data stores accessible by everyone.

Visualization

Visualization

Harness the power of visual presentation to enhance understanding and decision making.

Natural Language Processing

Natural Language Processing

Use all of the data you have to get the most possible insights.


Storytelling

Storytelling

Communicate the results to everyone in the organization.

Problem Solving

Problem Solving

Apply analytics to solve problems before they impact operations.

Simulation

Simulation

Understand your complete ecosystem and pinpoint bottlenecks.

Data Science as a Service (DSaaS)

 

Many companies are looking to harness the power of data science in making smarter decisions on their operations. When there is a shortage of skilled data scientists or the project is a quick turnaround short duration one outsourcing is often the best option.

We offer a Data Science as a Service (DSaaS) approach to address this need. Provide a problem brief, upload your data and let our skilled team of data scientists do the rest. The results are selectable to meet your needs from a one of analysis report to a hosted algorithm providing results in a web based dashboard or direct to your application via an API.

data science service


We Use The Latest Tools

Among the many tools we have at our disposal are:

R studiopythonJupyterR programming language Spyder

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