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.

SEE OTHER SERVICES

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

Tips and tricks when presenting dataData Science & AnalyticsTech Bites
September 12, 2022

Tips and tricks when presenting data

Presenting data is not an easy task, however effortless it may seem to us when listening to some people do it. Especially when presenting your work. Good presentation needs effort, and more often than not, it requires practice. But even without much practice, we can present our data in a…
Pandas Profiling for data explorationData Science & AnalyticsTech Bites
August 29, 2022

Pandas Profiling for data exploration

Introduction to Pandas Profiling Pandas profiling is an extended version of the standard Python pandas library for data manipulation and exploration. However, the initial data summary is sometimes more important than just diving into the data manipulation itself. It allows us to form a plan and strategy for approaching the…
The Simplest League of Legends Champion AnalysisData Science & AnalyticsTech Bites
August 4, 2022

The Simplest League of Legends Champion Analysis

What is League of Legends? League of Legends is a 2009 MOBA (multiplayer online battle arena) video game made by Riot Games. It is one of the most popular video games, having 3.5 million daily active players. In the game, two teams of five players battle in player-versus-player combat, each team…

Let's collaborate

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