UI/UX

"We Design seamless experiences for the modern world: Recognizing the significance of an appealing user interface and captivating user experience, we prioritize the design aspect of every application we develop.
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Data Engineering

Boxes : 1)Data Ingestion: Ingesting data from various sources such as databases, APIs, and files is a crucial step in data engineering. Tools such as Apache Kafka, Apache Nifi, and AWS Glue can be used for data ingestion.
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Java

Object-oriented Programming: Java is an object-oriented language, which allows for efficient development and maintenance of large-scale applications.
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DevOps & Cloud

Automate Your Overall Business Activities : With the aid of DevOps, you can accelerate your development cycle at a reasonable cost while boosting productivity swiftly. Don't hesitate any longer - choose SAS Tech Global managed services to expedite your business operations and achieve fruitful outcomes Boxes
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Project Management

Task Management: Ability to create, assign, and track tasks and subtasks, set deadlines, and monitor progress. Resource Allocation: Tools for assigning and tracking resources, including personnel, equipment, and materials, to specific tasks or projects.
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Mobile Development

Platform-specific development: Developers can use native tools such as Xcode for iOS and Android Studio for Android to create mobile applications that are optimized for each platform. Cross-platform development: Developers can use frameworks such as React Native, Flutter, or Xamarin to create mobile applications that can run on both iOS and Android devices with a single codebase.
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Cyber Security

Vulnerability Scanning: Utilize automated tools to identify security vulnerabilities in applications and systems, and implement mitigation strategies. Security Information and Event Management (SIEM): Collect and analyze data from various sources to detect potential security threats and respond to incidents in real-time..
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AI / ML

Data Preprocessing: Preparing data for machine learning algorithms is a crucial step. Various techniques such as data cleaning, normalization, and transformation can be employed to improve data quality.
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cyber Security

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