Projects using Apps Script in Batumi
Projects using Apps Script in Batumi
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Genadiy Ryabyev
Built a system that automatically creates documents from Google Docs templates using data from Google Sheets or Google Forms. Templates include simple placeholders (like name, date, address), which are replaced with real data through a script. The solution generates ready-to-use documents in seconds, organizes them in folders, and can also export them as PDFs or send by email if needed. This helps eliminate manual work and ensures documents are always consistent and error-free.
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Genadiy Ryabyev
Built a custom integration between Google Sheets and Gemini API using Google Apps Script. The system processes unstructured email content from body and attachments, sends it to the AI model, and converts it into clean, structured data directly inside Google Sheets. Extracted fields are automatically mapped into predefined columns, enabling further automation, reporting, and analysis. The solution includes custom prompt handling, API optimization, error handling.
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Genadiy Ryabyev
Developed a custom Google Workspace Add-on to enhance productivity within Gmail, Google Docs, and Sheets. The add-on provided specialized functionality according to the client's workflow, such as automated data enrichment, template generation, and third-party integrations.
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Genadiy Ryabyev
Developed a custom Google AppSheet application inspired by Jobber to manage clients, jobs, scheduling, and invoices. The app integrates with Google Sheets for real-time data updates, automates task tracking, no-code business management solution.
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Genadiy Ryabyev
Developed a custom Google Apps Script automation system for a real estate investment company focused on fundraising and property development across Europe. The solution automated complex financial and operational calculations inside Google Sheets, helping the team evaluate investment opportunities, project returns, and construction-related metrics. The system supports scalable calculation models for different property types and investment scenarios, improving accuracy, reducing human error, and significantly speeding up decision-making for investment analysis and project planning.
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