We make
Data Science
look easy.

Berina Avdić

Senior 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.

client
client
client
Python

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.
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Blogs and Success Stories

Random String DetectionBlogData Science & Analytics
May 15, 2023

Random String Detection

What are Random Strings? Data analysis often presents us with the challenge of dealing with noisy inputs. This is particularly evident when working with large datasets of user inputs. Detecting and filtering out random string inputs can prove invaluable in various scenarios, such as data validation, quality control or the…
Mehmed Kadric 0
Love7
Taking AI One Step Further: Synthetic DataBlogData Science & Analytics
March 30, 2023

Taking AI One Step Further: Synthetic Data

What if I told you none of the people from the picture below exists? You are wondering how? Well, the most simple answer is: synthetic data. This type of data can be anything: text, media, or tabular data. You can generate a random human face at any time using this generator.…
Amina Poplata 1
Love9
Benefits of Data VisualizationData Science & AnalyticsTech Bites
March 28, 2023

Benefits of Data Visualization

It is usually said that a picture is worth a thousand words. In the world of data, we could say that one graph is worth a thousand tables. Humans usually prefer to see a visual interpretation of data rather than a bunch of characters. For humans, it is also the…
Djordje Bjelajac 0
Love12
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Let's collaborate

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