Analytics - Projects & Jobs

Check out Sample Remote Projects & Remote Jobs Posted in AiDOOS

Visual Media Annotation Expert

Seeking a Video Captioning AI Data Trainer for remote position.

Annotate video clips with focus, action, and camera movements.

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Rust Engineering Lead

Seeking Rust Engineering Leads for adopting Rust and rethinking foundations of Linux syste

Responsible for designing and implementing well-tested and documented software in Rust.

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VP of Financial Operations

Requires 5+ years experience in operations management and strong communication and leaders

Company values transparency, merit-based culture, and delivering exceptional service and r

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Compliance Specialist

Compliance Specialist for Monitor Liaison Office (MLO)

Perform compliance & assurance reviews on monitor requests

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Kernel Developer

Remote Kernel Developer with expertise in C programming and Linux kernel core subsystems.

Provide support for existing functionality and implement new features.

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Engineering Director

Director of Engineering for Product Foundations team at VRChat.

Lead team of 15 engineers to build technical foundation for VR platform.

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HALTE Community & Chatbot

Development of “HALTE Community” on opensource “Discource” platform Building AI Bot bas

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AWS Hosting

Deploy new AI Workloads - Migrate existing AI workloads from Azure to AWS - Migration of M

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PeopleChain

1. Develop a solution for managing the functional history of people within an organization

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AI-driven real-estate platform

• Develop and implement AI-driven solutions to provide personalized insights for real esta

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AiDOOS SEO

• Identify and develop SEO strategies to improve website visibility and organic rankings.

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AiDOOLOGY

AiDOOS Methodology, referred to as AiDOOLOGY, forms the bedrock of AiDOOS by outlining the systematic approach to platforming services and knowledge-based tasks. Brilliant minds spanning the globe collaborate, forming teams to provide enterprises with exceptional solutions, all within a straightforward, streamlined, secure, and dependable process.

Analytics

Analytics involves the collection, analysis, and interpretation of data to make informed decisions and gain insights into various areas such as business operations, user behavior, and performance. It encompasses a range of technologies, tools, and techniques that enable organizations to derive value from data.

Technologies in Analytics

There are several technologies and tools employed in analytics, including:

  • Big Data Tools: These include Hadoop, Spark, and NoSQL databases, among others.
  • Data Visualization: This includes tools such as Tableau, QlikView, and Microsoft Power BI.
  • Programming Languages: Commonly used languages include Python, R, and SQL.
  • Machine Learning: This involves the use of algorithms and statistical models to enable machines to learn from data.
  • Predictive Analytics: This involves predicting future outcomes using historical data and machine learning models.

Becoming an Analytics Expert

To become an analytics expert, one would typically need a degree in mathematics, statistics, computer science, or a related field. However, many organizations now train their employees in analytics, and there are several online courses and certifications available for those who want to upskill or transition into the field.

Resources and Opportunities

There are several resources available for those who want to learn more about analytics. These include online courses, books, blogs, and forums. Some of the popular online course providers include Coursera, edX, and Udemy.

The demand for analytics professionals is high, and there are several opportunities available in various industries such as healthcare, finance, retail, and e-commerce, among others.

Aspects of Analytics

The different aspects of analytics include:

  • Descriptive Analytics: This involves analyzing historical data to gain insights into past performance.
  • Predictive Analytics: This involves using statistical models to predict future outcomes based on historical data.
  • Prescriptive Analytics: This involves recommending actions based on predictions made by predictive analytics models.
  • Diagnostic Analytics: This involves analyzing data to understand the root cause of a problem.