Aleksey Mironov resume

Alexey Mironov specializes in machine learning and data processing, offering services across the entire ML/data cycle—from data analysis to deploying models in production. He focuses on delivering measurable results, quickly creating MVPs, and scaling solutions, with attention to analytics, modeling, MLOps, and data security. Alexey actively uses modern tools and technologies such as Python, PyTorch, Spark, Docker, and Kafka. He ensures a high level of reproducibility and knowledge transfer through documentation and training. To begin collaboration, he requires clear objectives, access to data, and an understanding of project constraints.

Reviews

Alexey Mironov demonstrates a high level of professionalism in all aspects of his work. All clients commend the impeccable quality of his execution, adherence to deadlines, and deep expertise in his field. There are no complaints about his work.

Portfolio projects

Skills and Technologies: Artificial Intelligence, Neural Networks, Machine Learning, E-commerce, UX/UI Design, Next.js, WordPress, OCR, CRM Integration, SEO, Analytics, RAG Chatbots, Multimodal Platforms.

Projects and Achievements: The candidate developed neural networks for auto-classification and product description generation, which contributed to a 19% increase in e-commerce revenue over six weeks and a 23% increase in conversion rates within 30 days. Implementing ML demand forecasting and procurement optimization reduced out-of-stock rates by 18% and excess inventory by 15%, achieving an SLA of 99.5%. Service websites with CRM integration and SEO optimization were created within tight deadlines (10–14 days).

Achievements and Recognition: The candidate's projects demonstrate significant improvements in business metrics, including revenue growth and conversion rates in e-commerce, as well as process and resource optimization.

* 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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