Combining mathematical logic and computer science fundamentals to solve data-driven problems. As an aspiring Data Analyst, I enjoy exploring datasets, writing optimized SQL queries, and designing clear KPI dashboards that help make sense of business metrics. Focused on strengthening my technical stack through practical analytics pipelines.
With professional experience as a Junior Business Analyst in Warsaw and hands-on data analytics training, I focus on data validation, pipeline transparency, and translating raw metrics into clear business value.
- Languages & Scripting: SQL (Advanced Querying & Validation), Python (Pandas, NumPy, Jupyter), JavaScript (Basic)
- Data Infrastructure & Cloud: BigQuery, Relational Databases, Data Pipeline Fundamentals
- BI & Analytical Modeling: MS Excel (Advanced Pivot Models, Statistical Formula Frameworks), Power BI, Looker Studio, Google Sheets
- Agile & Collaboration: Jira, Confluence, Git/GitHub, Google Workspace
- Mathematical & Statistical Data Ops: Statistical Data Cleaning, Data Validation, Quality Checks & UAT Support
- Business Intelligence & Reporting: Multi-dimensional KPI Tracking, Dynamic Dashboard Engineering, Process Monitoring
- Technical Documentation: Workflow Architecture Tracking, Cross-functional Requirement Analysis, Technical Writing
- MSc in Computer Science – WSB University, Warsaw, Poland (2023-2025)
- BSc in Mathematics – Yildiz Technical University, Istanbul, Türkiye (2014-2020)
- Junior Business Analyst – Epidexios Solutions, Warsaw, Poland
- Supported internal enterprise systems, executed complex SQL scripts for operational data checks, and bridged requirements between product and development teams.
- 💼 LinkedIn: linkedin.com/in/merve-varli
- 📧 Email: solmazmrv@gmail.com