Data Science Services

Azati delivers end-to-end Data Science services from data engineering and ETL pipelines to predictive analytics, machine learning models, and cloud-based big data solutions. We help businesses transform raw data into actionable insights, optimize decision-making, and uncover new growth opportunities.

Schedule free consultation

35-55%

faster decision-making

3-6х

increase in actionable insights

40-70%

reduction in manual data processing errors

"Our users love the portal which is the reason we’ve been successful."

Martin Goffman

CEO, SequenceBase

"We are well satisfied with their work and are planning to include Azati Software in future development and operation."

Sebastian Schmidt

COO, MusicDNA

"They really know their craft."

Tom Caltagirone

Owner, Aptagen

"The app has never crashed, which is a testament to the quality of the code they put into this."

Enrique Franklin

Co-founder, HOPNBR

"I know that, if I have a question, their team will have an answer, or they will figure it out a lot faster than I could."

Axel Sturmann

IT Manager, Venstar Exchange

Data Warehousing

BI & Data Visualization

ETL Processes

Data Science Modelling

Big Data

Data Integration and Storage

Data Governance and Quality

Data Analysis

Startups Building Data Products

Launch data-driven features without hiring a full data science team. We build POCs, validate hypotheses, and deploy production models fast.

Enterprises Unlocking Legacy Data

Modernize analytics infrastructure, migrate from spreadsheets to scalable pipelines, and extract value from legacy data without disrupting operations.

CTOs Scaling Analytics Capabilities

Build robust ETL/ELT pipelines, automate reporting workflows, and enable data-driven decisions with centralized warehouses and real-time dashboards.

Companies Requiring Enterprise BI

Deploy comprehensive data warehouses, executive dashboards, and advanced analytics platforms that turn complex data into strategic business insights.

We partner with companies building and scaling data-driven systems.

Schedule a free consultation.

Send a request

Key Focus Areas in Data Science

Data Integration & Warehousing

We integrate billions of structured and unstructured data points into centralized, high-performance data warehouses, enabling fast access, advanced analytics, and comprehensive reporting.

Advanced Analytics & Insights

Our data scientists apply AI-powered analytics and statistical modeling to interpret complex datasets, delivering actionable insights that drive evidence-based business strategies.

Business Intelligence & Visualization

We design intuitive BI dashboards using tools like Power BI and Tableau, turning complex data into real-time, easy-to-read reports for decision-makers across your organization.

Azati & Cloud Data Science:

Unlocking Scalable Intelligence

Harnessing the power of cloud-based analytics to drive efficiency, innovation, and growth.

Scalable Data Processing

Leverage cloud infrastructure to handle massive datasets with speed and efficiency.
Cost-Effective Solutions

Optimize resource usage with flexible, pay-as-you-go cloud computing.
Seamless AI & ML Integration

Deploy and manage machine learning models effortlessly in a cloud environment.
Real-Time Insights

Analyze streaming data for instant decision-making and business agility.
Security & Compliance

Ensure data protection with robust cloud security measures and industry compliance.

Athena

AWS RDS for PostgreSQL

Big Query Analitycs

Alibaba RDS PostgreSQL

Snowflake

Alibaba AnalyticDB for PostgreSQL

IBM Db2 Warehouse

AWS RDS for MySQL

Alibaba RDS MySQL

Representative Case Studies

Explore our successful projects and see how we deliver measurable results for our clients.

Finance

Recommendation System for the Banking Industry

500+ recommendations continuously analyzed

1,000+ performance metrics considered

85% improvement in personalized employee recommendations

Python
Airflow
Teradata
DAGs

⚡ Pain Points We Tackled

Bank managers struggled to analyze vast amounts of performance metrics across multiple departments (sales growth, transfers, ratios, etc.) and provide actionable recommendations to employees. Data variability and the sheer number of indicators made manual analysis inefficient and error-prone.

Our Approach

We developed a server-side API from scratch to calculate metrics and generate personalized recommendations for bank employees. The system uses Airflow to manage workflows via DAGs, ensuring accurate, scheduled processing of over 1,000 metrics and generation of 500+ recommendations.

Applied Methods and Practices

Data Collection & Cleaning: Aggregating and preparing large volumes of employee and financial data for accurate analysis.
Metrics Calculation & Scoring: Evaluating over 1000 metrics per department to measure performance against KPIs.
Recommendation Ranking: Prioritizing suggestions using calculated performance indicators to ensure relevance.
Workflow Orchestration with Airflow: Scheduling, monitoring, and managing tasks efficiently across departments.
Visualization & Insights: Creating intuitive dashboards to highlight key performance areas and actionable insights.

Solution Features

Automated Performance Analysis: System calculates and analyzes employee metrics across multiple departments.
Personalized Recommendations: Tailored suggestions help employees improve specific areas of their performance.
Scalable Workflow Management: Handles complex, cross-departmental processes without performance bottlenecks.
Insightful Dashboards: Clear visualizations highlight problem areas and actionable insights for managers and employees.

Read Full Case Study

Telecommunication

BI and DWH Services for Telecommunication Provider

80 TB+ Data Processed Daily

100+ advanced audience-segmentation dimensions

30+ Integrated Data Sources

Big Data
ETL
JavaScript
Machine Learning

⚡ Pain Points We Tackled

A major entertainment company managing cable channels, streaming services, and digital platforms faced overwhelming data volume (terabytes from online + offline sources). They needed to gain deep insights into audiences (age, gender, hobbies, social connections, behavior) and optimize content release timing, ad-targeting, and audience retention.

Our Approach

We built a unified BI and data warehouse solution, combining multiple data sources into a central platform. This enabled advanced audience segmentation across 100+ attributes and provided fast, self-service access for marketing and analytics teams, streamlining content planning and ad-targeting across TV and digital platforms.

Applied Methods and Practices

Big-Data Processing Workflows: Handling 80+ terabytes per day with automated extraction, transformation, and loading pipelines.
Machine-Learning Audience Segmentation: Advanced algorithms to create precise demographic, behavioral, and interest-based audience segments.
BI Dashboards & OLAP Analytics: Analysis of impressions, play rate, click-through rate, engagement, churn, acquisition, and retention for data-driven decisions.
Data Warehousing & ETL Optimization: Centralized storage and optimized ETL processes for improved performance, scalability, and maintainability.

Solution Features

Unified Audience-Planning Platform: Integrates TV and digital campaigns for seamless audience targeting and campaign management.
Self-Service Analytics Dashboards: Marketing teams can independently access insights without relying on IT.
Rapid Access to Insights: Centralized storage allows quick querying and reporting across multiple data sources.
VOD Analytics & Optimization: Tracks impressions, engagement, churn, and other metrics to optimize content release timing and maximize reach.

Read Full Case Study

Life Sciences

Semantic Search Engine for Bioinformatics Company

150,000+ Samples Analyzed

27 ms average query response time

3 min Model Retraining Time

Word2Vec
NLP
Redis
Python

⚡ Pain Points We Tackled

The client struggled with inconsistent descriptions of biological samples, a lack of synonym knowledge in disease terms, and the absence of initial labeled data. These factors made search queries slow and often returned irrelevant results.

Our Approach

We developed a semantic search engine powered by machine learning that interprets natural-language queries, maps them to tagged scientific datasets, and returns highly relevant results. We trained a custom Word2Vec model on domain documents to capture synonym relationships, built query-analysis and matching modules, and optimized performance via in-memory caching with Redis.

Applied Methods and Practices

Custom Word2Vec Model: Trained on life-science corpus to detect synonyms and understand relationships between scientific terms.
Query-Analysis Module: Converts unstructured user input into structured representations for accurate processing.
Matching Module: Tags datasets with high confidence and performs semantic similarity searches across complex scientific datasets.
Caching Layer with Redis: Enables ultra-fast in-memory data lookups, minimizing query response times.
Semantic Search Optimization: Improved traditional search algorithms to focus on processed tags rather than entire datasets, boosting speed and accuracy.

Solution Features

Natural-Language Interface: Allows non-technical users to search complex scientific datasets intuitively.
Semantic Matching: Delivers highly relevant results by understanding query meaning instead of relying on keywords.
Scalable RESTful Microservices: Architecture supports high throughput and easy expansion to large datasets.
Rapid Data Processing: System analyzes queries and returns results in milliseconds, significantly improving workflow efficiency.

Read Full Case Study

Oil & Gas

Our data warehousing and BI solutions consolidate operational data from drilling sites, production facilities, and supply chains into unified analytics platforms. We transform fragmented data into strategic insights for production optimization and cost control.

CORE DIRECTIONS:

Centralized data warehouse for multi-site operations
Production analytics & KPI dashboards
Supply chain visibility & logistics optimization
Dynamic pricing & personalized offers
Real-time drilling performance monitoring

Case study Cloud System for Document Digitization

Document Digitization
OCR & AI
Data Extraction

Fintech

We build enterprise data warehouses and BI platforms that consolidate financial data, automate reporting, and deliver real-time insights for trading, risk management, and regulatory compliance.

CORE DIRECTIONS:

Enterprise data warehouse for multi-source integration
Real-time trading analytics & performance dashboards
Regulatory reporting automation
Customer analytics & segmentation
Risk metrics & portfolio performance tracking

Case study Stock Market Trend Discovery with Machine Learning

Stock Market Prediction
Trend Discovery
Financial AI

Healthcare

We engineer HIPAA-compliant data warehouses that consolidate EHR, lab, imaging, and billing data. Our BI platforms enable population health analytics, operational efficiency, and clinical insights that improve patient outcomes.

CORE DIRECTIONS:

HIPAA-compliant clinical data warehouse
Population health analytics & risk stratification
Hospital operations & bed management dashboards
Financial analytics & revenue cycle reporting
Quality metrics & clinical outcomes tracking

Case study NLP Solution For Pharmaceutical Marketing

NLP Solution
Doctor Insights
Speech-to-Text

Retail & E-commerce

We build retail data warehouses that consolidate sales, inventory, customer, and supply chain data. Our BI platforms deliver insights for merchandising, pricing optimization, and customer behavior analysis.

CORE DIRECTIONS:

Omnichannel data warehouse (online, in-store, mobile)
Sales analytics & product performance dashboards
Inventory optimization & demand forecasting
Customer segmentation & behavior analytics
Marketing ROI & campaign performance tracking

Case study Inventory Search Engine for Auto Parts Retailer

Retail AI
Real-time Search
Auto Parts Inventory

Data Science That Turns Insights into Action

Stop guessing and start optimizing. We build analytics systems that unlock measurable gains across operations and revenue.

Talk to Data Experts

Dedicated Team

Your product vision. Our full-cycle execution. We take complete ownership, from architecture and development through testing and deployment. You get a cohesive team, predictable delivery, and software built right the first time.

Choose this model

Staff Augmentation

Embed battle-tested engineers directly into your workflow. Scale capacity for critical sprints, bridge skill gaps, or de-risk your most challenging modules without long-term commitments.

Choose this model

Techstack We Provide

Theano

Pandas

Numpy

Matplotlib

Scipy

Jupyter

JupyterLab

Seaborn

Graphviz

Apache

Apache Hadoop

SQLAlchemy

NLTK

Scikit-learn

XGBoost

CatBoost

Statsmodels

FastAI

Tensorflow

Pytorch

PowerBI

Tableau

Meet Our Team

At Azati, our Data Science team helps clients turn complex data into simple, useful insights that support smarter business decisions. We take time to understand each client’s challenges and use machine learning to find patterns, improve processes, and uncover new opportunities. By working closely with our clients and tailoring each solution, we make sure our work brings real, lasting value.

Alexander A.

Data Science Team Lead

Why Choose Us as Your Data Science Partner

Enterprise-Grade Data Warehouses, Not Just Databases

We design scalable, high-performance data warehouses that consolidate business data from legacy systems, cloud apps, and third-party sources. Our solutions provide a single source of truth, enable large-scale analytics, and turn fragmented data into unified platforms for strategic decisions.

Actionable BI Dashboards That Drive Decisions

We don’t build vanity metrics, we deliver actionable business intelligence. Our BI platforms provide real-time KPIs, predictive analytics, drill-downs, and automated alerts, giving executives and managers the data they need to act quickly and confidently.

90-95% prediction accuracy

End-to-End Data Pipeline Engineering

We build robust ETL/ELT pipelines that automate data ingestion, transformation, quality validation, and warehouse loading. Our data engineering expertise ensures clean, accurate, timely data flows from hundreds of sources into your analytics platforms.

90% data accuracy across unified warehouse

Looking To Accelerate Your Product Roadmap?

Dedicated teams that take responsibility for outcomes, not just hours. From idea to production without hiring overhead.

Schedule a free consultation

Other IT Services

Custom Software Engineering

LLM Development Services

Generative AI & Advanced ML Engineering

DevOps Engineering & Consulting

Quality Assurance

UX/UI Design

Staff Augmentation

Dedicated Teams

FAQ

At Azati, we provide end-to-end data science services that help businesses extract actionable insights from complex datasets. Our team blends machine learning, predictive analytics, and data visualization to turn raw data into clear, measurable value. By aligning our solutions with your goals, we help you make data-driven decisions that drive efficiency, innovation, and growth.

Azati leverages big data analytics to identify patterns, optimize operations, and uncover growth opportunities hidden in large volumes of structured and unstructured data. We design scalable architectures for data integration, real-time processing, and cloud-based storage, enabling clients to make faster, more informed decisions with minimal infrastructure overhead.

We build robust data warehousing environments that centralize business data for easy access, analytics, and reporting. Our engineers develop efficient ETL pipelines that automate data extraction, transformation, and loading, ensuring high-quality, consistent input for downstream business intelligence systems and advanced analytics workflows.

Our data science team applies custom machine learning models to solve real-world problems like demand forecasting, customer segmentation, risk analysis, and recommendation systems. We seamlessly integrate ML algorithms into existing systems or deploy them on the cloud to deliver intelligent, scalable solutions that learn and improve over time.

Azati uses cloud platforms like AWS, GCP, and Snowflake to offer scalable data science solutions that handle massive workloads with flexibility and speed. Our clients benefit from pay-as-you-go infrastructure, real-time analytics, and easy AI/ML integration, all while maintaining strict data security and regulatory compliance across cloud environments.

Companies choose Azati for our ability to deliver powerful business intelligence dashboards and interactive data visualizations using tools like Power BI and Tableau. We turn complex data into intuitive charts and reports that help stakeholders make smart, data-backed decisions quickly and confidently across departments and roles.

Tell Us About Your Challenge

Full Name^*

Email^*

Upload additional information or RFP

Browse files

Your request^*

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

What's next?

1. Tell Us Your Story

Share your project details. We'll connect within 24 hours and ensure confidentiality with an NDA.
2. Get Your Roadmap

Receive a detailed proposal with scope, team composition, timeline, and costs tailored to your goals.
3. Start Building

We align on details, finalize terms, and launch your project with full transparency.

Data Science Services

Clients Feedback