We make
Data Science
look easy.

Berina Avdić

Data Analyst @Atlantbh

Meet Berina and other Atlanters>
SERVICES

Data Science

We provide full-service Artificial Intelligence, conventional Machine Learning & Deep Learning development, as well as expertise in all the latest Data Science trends. Using expertise in Natural Language Processing (NLP) we can help your business understand all kinds of unstructured data and give you insights into what your data can tell you. Our team can provide a full range of data services from data acquisition, preparation, transformation to creating a data product. In a nutshell, we will create a custom made Data Science solution for your business needs.

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Technology stack

We use a wide range of analytics and Data Science tools, technologies and languages to help you extract insights and value from data, including; Supervised & Unsupervised Learning, NLP, Data Storytelling, Machine Learning, Data Mining and more.

What we do

Our full-stack Data Science services provide you with an end-to-end, flexible process resulting in solutions for your business decision-making needs and supported by your data. Using the power of machine learning we will automate and augment your processes, boosting your business results.

  • Prescription and optimization
  • Data extraction
  • Data verification
  • Data categorization
  • Business intelligence
  • Data analysis services
  • Data capture
  • Data visualization
  • Predictions and recommendations

How we do it

No unicorns or magic, just the latest Data Science trends and a whole lot of experience.

1

Translating Problems into Solutions

We begin by translating business problems into Data Science problems. We define the goals and metrics of the solution.
2

Proof Of Concept and Machine Learning

We then develop and execute a data strategy followed by the development of a Proof of Concept (PoC) solution. During this phase we might develop custom made machine learning models just for you, perform training and thorough model testing.
3

Data Product

After the PoC phase has met the defined goals, we will continue by developing a data product, involving all the steps of software product development and then some. At the same time, our Data Scientists will continue to improve and tune machine learning models, iteratively. After development is complete, we will continue to monitor and perform model updates.

Blogs and Success Stories

BlogData Science & AnalyticsSoftware Development
August 11, 2021

Data Quality Analysis at Its Simplest

Data Quality Analysis at Its Simplest Maybe you have heard the expression ‘Data is the new oil’ phrased by the founder of Clubcard, Clive Humby. But, what does it mean? Does it imply that today data is as valuable as oil in terms of the economy? For sure. However, there…
BlogData Science & Analytics
March 16, 2021

The Data Analytics behind Fantasy Football

"People are overlooked for a variety of biased reasons and perceived flaws: age, appearance, personality. Of the twenty thousand notable players for us to consider, I believe that there's a championship team of twenty five people that we can afford. Because everyone else in baseball under values them - like…
movies datasetBlogData Science & AnalyticsTop
January 22, 2020

Turning quantity into quality with movies dataset

Imagine entering the world of analytics Are you a film enthusiast? Can you name all the thrillers released between 2010 and 2015 together with their directors and leading roles? If yes, good for you! (more…)

Let's collaborate

Whether you’re looking for a partner or just want to chat, drop us a message below.