Last reviewed: May 4, 2026
This page functions as a discovery hub. The first five cards open standalone case-study pages; shorter operational work remains summarized inside the hub.
Projects that need deeper search visibility now have their own URLs, schema, and internal-link support. Shorter contextual work stays here as hub-only summary.
Return to skillsThis first group contains the pages that should carry independent search visibility and the strongest internal-link authority.
What: End-to-end analytics pipeline for collecting, cleaning, and visualizing foreign trade data.
Stack: Python, SQL, Streamlit, web scraping.
Outcome: Repeatable analysis workflow that turns raw data into decision-support reports.
Context: Built to extract strategic insight from fragmented data sources and reduce reporting turnaround time.
What: Multilingual digital financial dictionary and learning experience across Turkish, English, and Russian.
Stack: Next.js, Supabase, TypeScript, multilingual information architecture.
Outcome: Product-style knowledge platform connecting 1000+ finance terms to a guided learning flow.
Context: Built to turn financial terminology into a scalable learning product rather than a static glossary.
What: Automation-first Telegram solution that combines several daily utility scenarios in one bot.
Stack: Python, Telegram Bot API, automation workflows.
Outcome: @AskViraBot brings weather, PDF conversion, games, note capture, and helper tools into one chat interface.
Context: Built to move recurring user needs into low-friction chat-based automation.
What: Technical analysis indicator and strategy research tool for reading market structure more consistently.
Stack: Pine Script, TradingView, technical indicators.
Outcome: Decision-support tool that combines MACD, RSI, ADX, and support/resistance logic in one frame.
Context: Designed for more disciplined signal interpretation and strategy testing on BIST data.
What: Financial research project comparing companies in similar sectors across BIST and MOEX.
Stack: Python, data analysis, financial modeling, comparative research.
Outcome: Research base combining macroeconomic effects and company-level metrics in one analytical frame.
Context: Prepared to study cross-market differences systematically and support investment research with structured data.
This second group stays inside the hub because the work adds context and range without needing separate search-targeted URLs yet.
What: Web solution that digitizes technical service requests, appointment planning, and field-service workflows.
Stack: HTML, CSS, JavaScript, workflow forms, PDF export.
Outcome: Operational flow that reduced response time by 30%, standardized service records, and enabled real-time PDF reporting.
Context: Kept as an operational summary inside the hub in this phase rather than a standalone case-study URL.
What: Web platform that centralizes fintech, data analysis, and multilingual product work.
Stack: HTML, CSS, JavaScript, multilingual SEO architecture.
Outcome: Fast portfolio experience connecting projects, skills, and certificate context in one information structure.
Context: Kept as a structural reference project that can be read directly through the site rather than a separate case-study page.