Delivering Efficient, High-Quality, & Secure Solutions

At Avrij Analytics, we utilize a variety of state-of-the-art technologies to deliver our services and applications. Our tech stack has been carefully selected to ensure efficient development and delivery of high-quality, scalable, and secure solutions.
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Avrij Analytics - Delivering Efficient, High Quality and Secure Solutions
Avrij Analytics - Development Languages

Development Languages

Our development team is proficient in several programming languages including but not limited to:
Python: We extensively use Python due to its readability, efficiency, and the vast number of libraries it offers, especially for data analysis and machine learning.
JavaScript (Node.js): Our team uses JavaScript for building fast and scalable network applications. Node.js allows us to execute JavaScript code outside of a browser, enabling server-side scripting and producing dynamic web page content before the page is sent to the user's web browser.
R: We use R for statistical computing and graphics, which is particularly useful for our data analysis and machine learning tasks.

Machine Learning/AI

Our team has substantial expertise in several Machine Learning and AI technologies:


An open-source machine learning framework developed by Google. We use TensorFlow for training deep learning models and creating neural networks.


A machine learning library for Python. We use Scikit-Learn for various machine learning tasks such as classification, regression, clustering, and model selection.


An open-source machine learning library based on Torch. It's used for applications such as natural language processing and artificial neural networks


A user-friendly neural network library written in Python. We use Keras as an interface for the TensorFlow library, simplifying the process of creating and training complex deep learning models.



Our applications are supported by robust databases:

SQL databases (MySQL, PostgreSQL): We use SQL databases for structured data storage and complex queries.
NoSQL databases (MongoDB, Cassandra): We use NoSQL databases for their flexibility and scalability, particularly when dealing with large volumes of data or when the data structure is not clearly defined.
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Avrij Analytics - Databases

Cloud Services

We leverage cloud platforms to ensure our applications are scalable, reliable, and available:

Amazon Web Services (AWS)

We use AWS for its wide range of services including compute power, database storage, and content delivery.

Google Cloud Platform (GCP)

We use GCP for its powerful machine learning and AI services.

Microsoft Azure

We use Azure for its integrated tools, services, and solutions to build, deploy, and manage applications.

This tech stack allows us to deliver cutting-edge solutions and services that meet the highest standards of quality and performance. However, our team continuously stays updated with the latest industry trends and technologies to ensure we're offering the best solutions to our clients.