Industries We Serve

1. Marketing

Marketing teams tend to have lots of data about advertising, web analytics, customer behavior, etc. We can fine-tune all data analysis solutions to run like clockwork and  free up more of your marketing team’s time to be strategic and effective. Our data science services company uses machine learning to:
– forecast sales;
– recommend products;
– analyze assortment and so on.

2. Retail (E-commerce)

Retail usually accumulates large amounts of data and is eager to use data analytics.
We can help with:
– customer analysis;
– assortment analysis;
– sales forecasts;
– marketing and advertising budgets optimization;
– increase the efficiency of merchandising and supply chain management.

3. Manufacturing

Generation of optimized plans that enable predictive maintenance is one of the key goals for AI in manufacturing, as well it helps in:
– optimizing production lines and logistic chains;
– forecasting revenue;
– determining optimal employee workloads;
– setting up automated systems for monitoring compliance with safety regulations.

4. IoT

When artificial intelligence is working with IoT devices it means that data can be analyzed and decisions can be made without involvement by people. In a broad variety of industries where IoT is implemented, AI can help to identify patterns and detect anomalies in the data that smart devices and sensors transfer (for example, air quality, humidity, temperature, pressure, vibration, sound, and others).

5. FinTech

FinTech companies usually work with sensitive information and have high-security standards. We take all necessary precautions to keep their data safe. Data Science UA can assist such businesses in:
– credit scoring;
– recommendation systems for both new and prospective clients.

6. Logistics & Warehouses

The transportation and warehouse industry is data-driven and needs analysis of historical and real-time data performed by intelligent algorithms. So our team can help with:

  • traffic management improvements
  • warehouse optimization,
  • route optimization (“travelling salesman” problem),
  •  developing optimal loading systems and utilization systems for vehicles;

7. Insuarance

AI can help insurance companies deliver high-quality service as it has done for major leaders in other industries such as Healthcare, Fintech, etc.

Our data science agency can help to:

  • create a more personalized service;
  • predict the repair costs from historical data;
  • provide a selection of better investments based on risks, preferences, and spending patterns;
  • improve claims analysis.

8. Agriculture

Farmers aim to maximize production and profits using innovative software and data collection and analysis.  We can make the analysis of historical and real-time images & data collected from databases, satellites, drones, IoT sensors that can help to:

  • increase the yield of farmlands;
  • ensure serviceability of farm equipment;
  • monitor fields conditions, irrigation, soil moisture, etc;
  • predict weather conditions.

9. Cybersecurity

Nowadays AI helps to deploy effective cybersecurity technology and allows businesses to solve major cybersecurity challenges: cyberattack, financial loss, or brand reputation damage. We can help cybersecurity teams to:

  • analyze patterns in user behaviors and respond to changing behavior;
  • identify cyber vulnerabilities and irregularities in the network.

10. Healthcare

AI is already transforming the healthcare industry—helping patients and hospitals optimize costs and increase care delivery through actionable insights. We can help to:

  • manage and analyze data to provide;
  • improve preventive care;
  • create personalized treatments;
  • make optimization of scheduling and bed management;
  • detect and analyze patient patterns and correlations for better decision making.

What clients and partners say about us

Our Cases

Technologies we leverage

Languages: Python, R, Scala, SQL, C++, etc.
Visualization: Power BI, Tableau, Qlik, Matplotlib, seaborn, ggplot2, plotly, Bokeh
DBMS: Relational (MS SQL, PostgreSQL, MySQL), Non-relational (MongoDB, CouchDB, Cassandra etc.), Distributed (Hadoop etc.)
ML Frameworks: Tensorflow, Scikit-learn, SciPy, etc.
Architectures
: On-premise, cloud, hybrid
Algorithms: Supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search), ensembles, reinforcement learning
Fields: Natural Language Processing, Computer Vision, Recommendation systems, Tabular data analysis, Signal Processing
Cloud Platforms: Amazon Web Services, Google Cloud Platform, Microsoft Azure

Why Choosing Data Science UA?

  • A strong Machine Learning engineering team.

    We are deeply integrated into the Ukrainian Data Science community and can find all required domain experts to come up with the best Machine Learning development services;

  • We’ve worked with various industries before and can think out of the box.

    Data Science UA can help with building and implementing ML solutions in different sectors. Besides, our team is not afraid to ask questions and look for information to learn new industry/business better;

  • Our technical know-how in ML solutions development is solid.

    We’ve designed ML software for many businesses. Our company values a T-shaped approach: each specialist should be an expert in a particular domain and have broad knowledge in other spheres. Thus, we are able to provide excellent ML development services, finding solutions to unique problems.

  • We offer flexible cooperation.

    Data Science UA chooses the form of cooperation that will be the most suitable for the project’s needs and goals. You can work with us in team-extension-mode or on a project basis. We can create cross-service projects (like consulting + data analysis & data science + recruitment or any other combination);

  • We use proprietary technologies.

    Our  Machine Learning software development company has worked in this domain for years and has developed and refined our own instruments. Now we can utilize some pre-built technologies to develop unique Machine Learning solutions tailored to the needs of your business;

  • We carry out R&D activities.

    Our specialists love challenges and are eager to “do their homework”. We are an ML research company, keeping an eye on the new trends and looking for new ideas and approaches to bolster our services and products.

A strong AI
engineering team.


We are deeply integrated into the Ukrainian Data Science community and can find all required domain experts to come up with the best Artificial Intelligence development services;

We’ve worked with various industries before and can think out of the box.


Data Science UA can help with building and implementing AI solutions in different sectors. Besides, our team is not afraid to ask questions and look for information to learn new industry/business better;

Our technical know-how in AI solutions development is solid.


We’ve designed AI software for many businesses. Our company values a T-shaped approach: each specialist should be an expert in a particular domain and have broad knowledge in other spheres. Thus, we are able to provide excellent AI development services, finding solutions to unique problems.

We offer flexible cooperation.


Data Science UA chooses the form of cooperation that will be the most suitable for the project’s needs and goals. You can work with us in team-extension-mode or on a project basis. We can create cross-service projects (like consulting + data analysis & data science + recruitment or any other combination);

We use proprietary technologies.


Our AI software development company has worked in this domain for years and has developed and refined our own instruments. Now we can utilize some pre-built technologies to develop unique AI solutions tailored to the needs of your business;

We carry out R&D activities.


Our specialists love challenges and are eager to “do their homework”. We are an AI research company, keeping an eye on the new trends and looking for new ideas and approaches to bolster our services and products.

Our AI Development Tech Stack

Languages:

Visualization:

  • tableau Power BI
  • tableau Tableau
  • qlik Qlik
  • matplotlib Matplotlib
  • seaborn Seaborn
  • ggplot2 Ggplot2
  • plotly Plotly
  • bokeh Bokeh

DBMS:

  • microsoft_sql_server slon dolphin
    Relational (MS SQL, PostgreSQL, MySQL)
  • leaf couch eye
    Non-relational (MongoDB, CouchDB, Cassandra etc.)
  • hadoop
    Distributed (Hadoop etc.)

DL Frameworks:

  • pytorch PyTorch
  • tensorflow Tensorflow
  • keras Keras

Architectures:

  • neural_language_processing On-premise
  • Cloud
  • Hybrid

Algorithms:

  • machine_learning Supervised learning (classification, regression)
  • deep_learning Unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search)
  • intersection Ensembles
  • reinforcement Reinforcement learning

Fields:

  • neural_language_processing Natural Language Processing
  • Computer Vision
  • Recommendation systems
  • Tabular data analysis
  • Signal Processing

Neural Networks:

  • CNN
  • RNN
  • DNN
  • LSTM
  • GAN
  • Autoencoders

Cloud Platforms:

  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure

Want to become our
client or partner?