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Data science service page

We invite you to discover how to reveal meaningful patterns from data:

Risk models case


AI consulting

Ideas we realize. Problems we solve.

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    Predictions and correlations

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    Forecasting and foresight

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    Recommendations and content personalization

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    Statistic risk modeling

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    Spam

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    Clusterization and segmentation

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    Model training

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    Patterns recognition

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    Trends and seasonality

Data science process and timeline

While the estimate depends on your project idea, we work in short, focused iterations — so you’ll see results asap. If you need help with project ideas, please read the section above.

  • 1

    Start

    Start of iteration 1

    ✔ Estimated time: 5 days.

    ✔ Start without the overhead of hiring in-house.

  • 2

    Data Science

    Work execution

    ✔ Estimated time: 2 weeks

  • 3

    Finish

    Finish of iteration 1

    ✔ Estimated time: up to 1 week.

  • 4

    Start

    Start of iteration 2

    ✔ We provide support with data science through ongoing maintenance and other options.

We are certified partners of

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Our clients

We deliver results for brands across the USA, Australia, Canada, Europe, and Asia.

These include companies in E-commerce, Social Discovery, iGaming, Web3, Healthcare, iOT, OTT, EdTech, MarTech, and FinTech.

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    industries

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    brands

Client testimonials

  • 5.0

    “They did a lot of work studying real user data – they built hypotheses and ran experiments that led to a significant increase in our conversions.”

    Analytics director at Plarium

    Anton Polischuk

  • 5

    “Dot Analytics’ work was completed on time and met our expectations. We received a ready-made infrastructure for collecting and consolidating data, moving away from manual and fragmented work..”

    CTO at DataRoot Labs

    Ivan Didur

  • 5

    “We had so-called raw business data and we wanted to centralize it for further analysis. The main thing for us is that we got high-quality and accurate data. We are convinced that they did a great job!

    CEO, co-founder of Bookimed

    Yevheniy Kozlov

  • 5

    “Working with Dot Analytics to develop the AI capability of our new DataRoot Labs platform has been transformative for us and our customers.”

    CEO, co-founder of DataRoot Labs

    Max Frolov

  • 4.8

    “We needed to combine, process and display a large amount of data. It was a complex job and I am 99% satisfied with the result.”

    CEO, co-founder at Futurra Group

    Vitaliy Shatalov

  • 5

    “We were interested not only in working with user data and the site, but also in comprehensively improving marketing. We are very pleased with the result.”

    CEO at Kismia

    Vlad Amardi

  • 5.0

    “They did a lot of work studying real user data – they built hypotheses and ran experiments that led to a significant increase in our conversions.”

    Analytics director at Plarium

    Anton Polischuk

  • 5

    “Dot Analytics’ work was completed on time and met our expectations. We received a ready-made infrastructure for collecting and consolidating data, moving away from manual and fragmented work..”

    CTO at DataRoot Labs

    Ivan Didur

  • 5

    “We had so-called raw business data and we wanted to centralize it for further analysis. The main thing for us is that we got high-quality and accurate data. We are convinced that they did a great job!

    CEO, co-founder of Bookimed

    Yevheniy Kozlov

  • 5

    “Working with Dot Analytics to develop the AI capability of our new DataRoot Labs platform has been transformative for us and our customers.”

    CEO, co-founder of DataRoot Labs

    Max Frolov

  • 4.8

    “We needed to combine, process and display a large amount of data. It was a complex job and I am 99% satisfied with the result.”

    CEO, co-founder at Futurra Group

    Vitaliy Shatalov

  • 5

    “We were interested not only in working with user data and the site, but also in comprehensively improving marketing. We are very pleased with the result.”

    CEO at Kismia

    Vlad Amardi