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Azerbaijani Full-Text Search
PostgreSQL couldn't stem Azerbaijani - so I built the dictionary myself: a custom Ispell stemming dictionary handling the language's agglutinative suffixes, wired into the full-text-search configuration and production search. Later extended with data-driven query autocorrection, after search-log analysis showed ~25% of common-term queries are misspelled.
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I've built Signalwatch with one purpose... to identify the gaps and deliver solutions.
Love the clarity of the mission; turning raw public signals into actionable decisions feels genuinely useful.
I designed a Business Intelligence and financial reporting solution that transforms scattered data from multiple sources into centralized, validated, and decision-ready information.
The solution automates the complete reporting workflow: connecting and consolidating data, cleaning and standardizing information, applying business rules, building a structured data model, calculating financial KPIs, and generating executive dashboards and recurring reports.
Instead of manually combining spreadsheets and preparing reports every reporting period, the workflow creates a repeatable data pipeline that reduces manual work while improving consistency, traceability, and visibility.
Key capabilities include:
Multi-source data consolidation
Automated ETL and data transformation
Data validation and quality controls
Power Pivot data modeling
Financial KPI calculations
Interactive executive dashboards
Automated and scheduled reporting
Exception and duplicate detection
Audit trails and process traceability
Technologies: Excel, Power Query, Power Pivot, VBA, DAX, SQL/CSV data sources and automated reporting workflows.
The goal of the project is not simply to create a dashboard, but to build the automated data process behind it — turning raw information into reliable insights that can support faster business decisions.
All information, companies and metrics displayed in this case study are fictional demo data created exclusively for portfolio purposes.
