We make
Data Science
look easy.

Berina Avdić

Lead 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

mlBlogData Science & Analytics
April 9, 2024

Comprehensive Guide: Creating an ML-Based Text Classification Model

In the previous blog, we first defined the problem of customer support ticket classification that Atlantbh had the opportunity to solve. After presenting the business goal, we briefly described the proposed approach and obtained results. This blog post serves as a follow-up. We aim to delve into individual steps of…
BlogData Science & Analytics
April 9, 2024

Harnessing the Potential of NLP: Effortless Experience & Efficient Customer Service

As businesses strive to stay ahead in today’s dynamic market, harnessing the potential of Artificial Intelligence (AI) has become a strategic imperative rather than a choice.  Natural Language Processing (NLP), one of the branches of AI, encompasses a powerful set of techniques with a wide range of applications, especially in…
DataOpsBlogData Science & Analytics
November 20, 2023

DataOps: The Data Analytics (R)evolution

In the global, increasingly growing IT industry, we hear the term ‘DevOps’ almost daily. But how often do you encounter ‘DataOps’ related topics? We all use some of its practices, but it still seems relatively unfamiliar to many. In a world where data is the core of almost everything we…

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