ML:Developing an API for uploading restaurant menu images.Processing these images with ChatGPT-4 to extract data.Training the model using around 100 different restaurant menus to ensure accuracy.Exporting the processed data in JSON format to the real-test databaseExporting the project to AWSArchitect and build robust cloud-based pipelines and robust ML framework to train, deploy, infer, and monitor machine learning models at scale.Apply expertise in model design, training, evaluation, validation, implementation, and monitoring.Conduct data preprocessing, feature engineering, and model evaluation.Manage workflows and data pipelines.Fullstack:- Perform new web feature development;- Bug fixing;- Writing a clean and clear code;- Teamwork.- Kotlin language(kobweb)

Successful improvement of the organizational process of conducting the swimming competition. Connecting electronic devices (sirens, detection devices, buttons, microphones, computers), replacing existing ones, working with software directly during the competition. Review and implementation of new solutions to improve work.

- Utilize advanced data science techniques to extract meaningful insights from large datasets, enabling data-driven decision-making.- Collaborate with the back-end and front-end development teams to integrate data science solutions into our web applications.- Design, develop, and implement machine learning models to enhance user experience and optimize system performance.- Conduct in-depth analysis of user behavior, market trends, and application performance, providing actionable recommendations.- Work with various data sources, including structured and unstructured data, to gain a comprehensive understanding of the business landscape.- Explore and implement predictive analytics to improve user targeting, product recommendations, and business forecasting.- Collaborate with cross-functional teams to define key performance indicators (KPIs) and track performance metrics.- Ensure data privacy and security compliance, implementing measures to safeguard sensitive information.- Stay updated on the latest data science advancements and best practices, continuously enhancing your skills and knowledge.

Develop and optimize machine learning models to enhance diagnostic and treatment processes.Analyze and implement new machine learning methods to optimize product functionality.Collaborate with a multidisciplinary team for the integration of technological solutions.