Data Science

Analytics, ML models and clear dashboards

Data Science and Analytics

Data is the new oil, but raw data is useless by itself. We transform raw data into actionable insights that help make informed business decisions.

Business Intelligence (BI) — dashboards and reports for executives. KPI visualization, funnels, cohorts.
Predictive Analytics — sales, demand, churn forecasting based on ML models.
Big Data — processing large data volumes with Apache Spark, Hadoop, ClickHouse.
Data Engineering — building ETL/ELT pipelines, Data Warehouse, Data Lake.
A/B Testing — designing and analyzing experiments for data-driven decisions.

Business analytics and dashboards

Predictive analytics and ML models

Big Data processing (Spark, Hadoop)

ETL/ELT pipelines

Data Warehouse and Data Lake

Visualization (Tableau, Power BI, Metabase)

A/B testing and experiments

RFM analysis and segmentation

Cohort analysis

Real-time analytics

Python

Pandas

NumPy

Scikit-learn

Tableau

Power BI

SQL

Apache Spark

We gather and structure data from various sources

We process and prepare the data for analysis

We apply statistical methods and ML algorithms

We build clear dashboards and reports

We integrate analytics into your business processes

Data-driven decision making

Discovery of hidden patterns

Trend forecasting

Business process optimization

Measurable results

Starting from

350,000 ₽

From 40 days