An experienced BI Analyst with nearly two years in the field, exhibiting a dynamic background in both the vehicle insurance sector and mixed-economy organizations involving state and private entities. Possesses a robust foundation in data analysis, data visualization, and deriving insights from varied data sources. Skilled in a range of technologies including Python, SQL, Power BI, and Excel. Committed to contributing to organizational growth through current expertise and an ongoing dedication to learning in the business intelligence domain.

Mobile Developer with specialization in React Native, commenced programming in 2009, originally focusing on Delphi and Pascal. Developed a keen interest in web and mobile development during college, particularly after the initial Hello World project in React. This project marked a pivotal shift towards the adoption of modern technologies. Currently engaged in a medical consultancy project that epitomizes career aspirations and accomplishments.

Bringing over two years of experience as a Senior Analyst with involvement in significant projects for major corporations, combined with one year as a mid-level front-end developer, extensive experience in freelancing for more than a year is marked by contributions to various projects. This experience includes a focus on web development, mobile applications, and e-commerce platforms.

FullStack Developer with over two years of extensive experience specializing in web systems development and infrastructure. Proficiency includes Python and Typescript, along with comprehensive expertise in Django, NestJs, and ReactJs frameworks. Demonstrates notable experience in managing queues and events through Node.

Full-Stack Developer with five years of industry experience, specializing in PHP for back-end development combined with HTML, CSS, and Jquery for the front-end. Demonstrates strong commitment to writing well-structured, clean code by adhering to SOLID principles and design patterns, thereby facilitating maintenance and scalability. Proficient in agile methodologies, including Scrum and Kanban, and experienced in managing high-traffic projects handling millions of requests per day. Possesses a deep-rooted passion for solving logical problems and puzzles, which enhances problem-solving capabilities in complex development environments.

Senior Backend Developer with specialization in .NET technologies, notably C#, Microsoft Azure, and RabbitMQ. Demonstrates proficiency in implementing S.O.L.I.D. principles, and is skilled in both MVC and ASP.NET frameworks. Possesses expertise in developing RESTful Web APIs and managing SQL databases with a strong command of GIT for version control. Applies Design Patterns effectively to solve complex problems, and has experience deploying applications using Docker. Integrates Dapper and Entity Framework Core for efficient data access and exhibits a robust capability in managing databases with Microsoft SQL Server.

Web development specialist with expertise in the JavaScript stack, including Node.js, React.js, Vue.js, and related web technologies. Possesses intermediate proficiency in .NET. Actively engages in open-source projects within the React.js and Vue.js communities. Emphasizes the importance of loyalty, transparency, and honesty in fostering positive and productive professional relationships.

A dedicated software developer with expertise in Elixir, Phoenix framework, ReactJs, NodeJs, and PostgreSQL. Demonstrates a strong propensity for problem-solving and proficiency in employing a variety of modern technologies. Committed to continuous professional growth and open to learning new languages and frameworks that enhance skill sets.

Microsoft Azure Machine Learning is a cloud-based service that enables data scientists and developers to build, deploy, and manage machine learning models efficiently. It provides tools for data preparation, model training, model deployment, and monitoring, facilitating the creation of predictive analytics solutions.

A Microsoft Azure Machine Learning expert must have skills in Python and R programming, proficiency in using Azure Machine Learning Studio, experience with data preprocessing and feature engineering, knowledge of machine learning algorithms and model evaluation, familiarity with version control systems like Git, and expertise in deploying models using Azure services such as Azure Kubernetes Service (AKS) and Azure Container Instances (ACI).

How to hire a Microsoft Azure Machine Learning expert

Microsoft Azure Machine Learning was introduced by Microsoft in 2015. It was developed to provide a robust cloud-based platform for data scientists and developers to create, deploy, and manage machine learning models. The service aimed to streamline the process of building predictive analytics solutions by offering comprehensive tools for data preparation, model training, and deployment.

About Microsoft Azure Machine Learning

Strengths of Microsoft Azure Machine Learning include seamless integration with other Azure services, robust scalability, and extensive support for various machine learning frameworks. Weaknesses include a steep learning curve for beginners and potentially high costs for large-scale deployments. Competitors include 

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