We make
Data Science
look easy.

Berina Avdić

Senior Data Analyst @Atlantbh

Meet Berina and other Atlanters>

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.


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.


Translating Problems into Solutions

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

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.

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

The role of Data Analytics in the function of Map QualityData Science & AnalyticsTech Bites
January 18, 2023

The role of Data Analytics in the function of Map Quality

What is a map? A map is a symbolic representation of selected characteristics of a place, usually drawn on a flat surface. Maps represent information about our world in a simple, visual way. They teach about it by showing the sizes and shapes of countries, locations of features, and distances between…
Data-centric AI / Big data vs. Good dataBlogData Science & Analytics
January 10, 2023

Data-centric AI / Big data vs. Good data

We can agree that AI is not a one-size-fits-all solution. However, for many companies, AI can provide significant benefits and help drive growth and success. Some potential benefits include the following: Improved efficiency: AI can automate tasks and processes, saving time and resources for other activities. Increased accuracy: AI can…
How to Ensure Data Integrity?Data Science & AnalyticsTech Bites
December 14, 2022

How to Ensure Data Integrity?

The World of Data If one were to look at the world's highest-performing companies right now by market cap, one'd notice that 4 out of the top 5 are massive tech companies, with one oil conglomerate sneaking in. It is no surprise then to hear huge news outlets, such as…

Let's collaborate

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