Data analysis and pipeline design
I build systems that turn fragmented sources into decision-support workflows. Pipeline example
Data-led finance research, automation workflows, and multilingual digital products.
I build a connected portfolio across fintech research, data analysis, Python automation, and multilingual product design. Instead of collapsing everything into one long CV page, the site now routes each intent to the most relevant URL.
The site is structured as a set of topical clusters: background, skills, certificates, project hub pages, and deep case-study pages that distribute authority rather than compete with each other.
I build systems that turn fragmented sources into decision-support workflows. Pipeline example
I connect market reading, technical analysis, and comparative finance research with product logic. Research example
I move recurring needs into low-friction chat and utility workflows. Bot example
I align language, information architecture, and SEO inside one product system. Product example
These flagship project pages are the strongest entry points for discovery around applied data pipelines, multilingual products, finance research, and Telegram automation.
End-to-end analytics pipeline for collecting, cleaning, and visualizing foreign trade data.
Repeatable analysis workflow that turns raw data into decision-support reports.
Multilingual digital financial dictionary and learning experience across Turkish, English, and Russian.
Product-style knowledge platform connecting 1000+ finance terms to a guided learning flow.
Automation-first Telegram solution that combines several daily utility scenarios in one bot.
Built with Python and Telegram Bot API to connect weather, PDF conversion, games, note capture, and helper tool flows.
Financial research project comparing companies in similar sectors across BIST and MOEX.
Research base combining macroeconomic effects and company-level metrics in one analytical frame.
Projects are supported by academic context, skill clusters, and visible external signals so each important topic has a clear supporting path.
My MIS and Economics base connects a full-scholarship English program, double major, GPA 3.26/3.88, and representative role with data and business logic.
Certificates, event participation, ISMEK/1Ci/TODER training records, and public profile signals give external context to the portfolio.
Skills, projects, and case-study pages now reinforce each other in a deliberate internal-linking structure instead of repeating the same blocks.
Use the project hub, case-study pages, and skill clusters together; then continue to contact if you want to discuss a product, collaboration, or research direction.