Andrey Nikонов is a programmer with over 15 years of experience in .NET development, specializing in the creation of desktop and web applications. He works with languages such as C#, VB.NET, JavaScript, HTML, and CSS, and utilizes technologies including WPF, ASP.NET, Web API, and Entity Framework. He has experience in browser automation using Selenium and CefSharp, as well as integration with various APIs, including those from betting services, financial platforms, and government systems. He develops parsers, applications for working with Excel, and solutions for automating business processes. He is the author of several personal websites and systems that implement integration with external services.

Reviews

A professional performer who efficiently and effectively completes tasks, understands client requirements, and meets deadlines or delivers ahead of schedule. He demonstrates a high level of competence and responsibility. Reviews highlight his willingness to tackle complex challenges, including unconventional technical issues, as well as the availability of free support. There are no negative reviews.

Portfolio projects

Skills and Technologies: Data parsing, C#, Windows Forms, Excel, ADO.NET, Selenium, API, HTML Agility Pack, WPF, AJAX, VB.Net, MS SQL Server.

Projects and Achievements: The candidate has developed numerous parsers for various websites, including parsing for sports events, products, and financial data. For example, he implemented a parser for the FlashScore website that tracks real-time events and sends notifications via Telegram. He also created console applications to automate data extraction from government registries and procurement websites, significantly speeding up the information processing workflow. As a result of his work, large volumes of data were collected and systematized, contributing to improved analytical processes.

Achievements and Recognition: The candidate has successfully developed over 100 parsers that have automated data collection for various business processes. His projects have reduced information processing time by up to 70% and increased data accuracy, which has been acknowledged through positive feedback from clients.

* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.

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