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Turn your data into intelligent workflows and better decisions
Azra Analytics designs and develops end-to-end data, machine learning, and AI systems. We combine business strategy, workflow architecture, data engineering, predictive modeling, and AI application development to build solutions that create measurable organizational value.
Strategy-driven. Open-source-first. Built for your operating environment
AI is becoming ubiquitous. Competitive advantage is not
Access to powerful AI models and software is no longer enough to distinguish an organization.
Sustainable value comes from integrating data, analytics, machine learning, AI, human expertise, and organizational knowledge into the workflows that determine how the organization operates and makes decisions.
Azra Analytics helps organizations identify important workflows, redesign how information and judgment move through them, and build the data and AI systems that make the redesigned workflow possible.
The result is not simply another AI tool. It is an organizational capability built around the way your business creates value.
Who We Are
Azra Analytics is a strategy-driven data and AI development firm. We combine expertise in business strategy, organizational operations, data engineering, machine learning, and AI development to solve complex business problems.
We work with organizations to identify high-value workflows and decisions, build the data foundations they require, and develop intelligent systems that fit the way the organization operates. Our goal is not simply to deliver models or dashboards, but to create practical solutions that improve how work gets done and how decisions are made.
Omar Malik
Founder & CEO
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Ahmad Jamal Khan
Operations & Project Coordination Lead
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Shahbaz Khan
Data Scientist & AI Developer
Services
From business problem to production-ready data and AI system
We help organizations identify valuable opportunities for AI, build the data foundations they require, and develop intelligent systems that improve workflows and decisions. Our services can support a focused project or an end-to-end transformation.
Strategy and Workflow Design
We identify the workflows, decisions, and operational challenges where data, machine learning, and AI can create measurable value. We then translate those opportunities into a practical implementation roadmap.
Machine Learning and Decision Systems
We develop predictive and analytical models that support important business decisions—from forecasting and anomaly detection to risk assessment, optimization, and operational planning.
Data Ingestion and Engineering
We connect fragmented data sources and build reliable pipelines, data models, and analytical foundations. The result is trusted, accessible data that can support reporting, machine learning, and AI applications.
AI Application Development
We build practical AI applications that integrate models, organizational knowledge, and human judgment into everyday workflows. Solutions can include intelligent assistants, recommendation systems, document-processing tools, and custom decision-support applications.
Open-source-first and technology-agnostic
We primarily use proven open-source technologies to reduce unnecessary licensing costs, maintain flexibility, and create systems that fit your existing operating environment.
Selected Work
We develop data and AI systems around real operational problems. Our work spans data engineering, advanced analytics, machine learning, and decision-support application development.
Expense Anomaly Detection
Azra Analytics developed an anomaly-detection framework for five years of expense transactions from a major leasing organization. The system combines rule-based controls with Isolation Forest, Histogram-Based Outlier Scores, and denoising autoencoder models to identify duplicate patterns, suspicious amounts, structural rarity, and unusual combinations of transaction features. The framework includes data preparation, model evaluation, multi-model anomaly comparison, explainability outputs, stakeholder reporting, and deployment planning for both batch and individual transaction reviews.
Integrated Data and Safety Platform for Transportation
Azra Analytics designed a technical architecture for a trucking and logistics company that integrates operational data from multiple Google Sheets into a centralized data warehouse, automated ETL pipeline, REST API, and dashboard-ready analytics layer. The project also uses millions of federal inspection records to model weigh-station activity, predict inspection outcomes and depth, and identify likely violation categories—giving managers, dispatchers, and drivers more timely, consistent, and actionable information.
Data Ingestion Pipeline for PDFs and Document Images
Azra Analytics designed and prototyped an on-premises AI platform that converts digital and scanned bank statements into validated transaction data and automated financial reports. The system combines document classification, OCR, large language models, deterministic parsers, arithmetic validation, confidence scoring, and human exception review. It reduces manual data entry, strengthens auditability, protects sensitive financial data, and creates a structured foundation for future risk analytics and decision support.