Kirill Mardengsky has been working with Adobe Premiere and After Effects for six years. During this time, he has edited over 500 of his own videos and around 100 commissioned projects. He has experience in creating and developing a YouTube channel that boasts more than 268,000 subscribers and over 130 million views, including a video that has reached 66 million views. Kirill understands the intricacies of content promotion, audience retention, and creating effective thumbnails. He is ready to assist with idea generation, scriptwriting, filming, and editing, as well as provide advice on how to increase reach and eliminate mistakes that hinder channel growth. He works efficiently and is available for communication at any time.
Kirill Mardengsky has established himself as a responsible and professional performer who completes tasks quickly and efficiently. Clients highlight his ability to work according to the provided technical specifications without unnecessary questions and to handle tasks promptly. One aspect to keep in mind is that he may deliver work on the last day; however, this does not affect the quality of the final product. Overall, Kirill receives positive feedback for his friendliness and professionalism, and he is recommended as a reliable specialist.
Skills and Technologies: script and program development for YouTube, creating intros and video editing, competitor analysis, data clustering, working with neural networks, and cover design.
Projects and Achievements: The candidate has developed scripts and programs for automating interactions with YouTube, including liking comments and checking monetization. Intros for YouTube channels have been created, and video editing has been completed, which is supported by links to finished works. Additionally, projects have been implemented for competitor analysis and comment clustering using neural networks.
Achievements and Recognition: The candidate's work is showcased on various platforms, including YouTube and Yandex Disk, which attests to their quality and demand.
* It is created by a neural network based on a portfolio, information provided by the user about himself and reviews from other users.