Viacheslav S.

Viacheslav S.

Plus Winning proposal
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Budget: 1000 UAH Deadline: 1 day

Good day
Analyze the products at this exhibition with a focus on the prospects of import into Ukraine?

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Budget: 10000 UAH Deadline: 7 days

Good day!
Thank you very much for the detailed description of the task — I will gladly participate in conducting an in-depth analysis of promising products for import.

✅ I have experience in competitive analysis, web analytics, and using tools such as Similarweb, SE Ranking, Google Trends, Google Ads, as well as chatbots based on GPT/AI for processing large volumes of data. I also possess skills in structuring and presenting analytical information in an understandable and practical form.

📊 As part of the research, I can:
analyze product groups from the Canton Fair;
identify the most promising directions for import;
assess the level of demand and competition in the Ukrainian market;
identify additional promising products outside the exhibition;

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Budget: 9000 UAH Deadline: 7 days

Hello!
I can gather data on products, analyze the market, and present everything in a structured format. I work carefully and step by step — staying in touch at every stage.
I effectively use AI in my work.

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  • Rating 285

Budget: 12000 UAH Deadline: 14 days

Good day!
Thank you for the interesting proposal — the task is truly large-scale, strategic, and requires a deep analytical approach. This is exactly the kind of cases I work on every day: multi-level analysis, processing large volumes of commercial information, and forming practical conclusions at the intersection of market feasibility and AI potential.
📌 Briefly about my expertise:
- Experience working with over 100+ B2B clients on data parsing and market analysis projects
- Building proprietary data aggregation frameworks from various sources (search query analytics, customs data, behavioral patterns)
- Deep understanding of Google Trends / Ads, SE Ranking, SimilarWeb, customs analytics, Telegram WebApp SDK
- Applying AI (GPT, clustering models) for cleaning, structuring, and interpreting large samples

🔍 Methodology for working on the project:
- Scaling and filtering:

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