I turn raw data into actionable insights — analysis, visualizations, dashboards and automated reporting for decision-makers.
What you get:
• Data analysis and exploration of your datasets
• Interactive dashboards (Streamlit, Plotly, or HTML-based)
• Automated recurring reports — daily, weekly or monthly
• Data cleaning and transformation pipelines
• Clear visualizations and executive summaries
• Recommendations backed by data, not guesswork
What I work with:
• Structured data: databases (SQL, PostgreSQL), spreadsheets, CSV/Excel files
• Semi-structured: JSON, XML, API responses, log files
• Unstructured: text analysis, document parsing, web-scraped data
Typical projects:
• Sales and revenue analytics with trend analysis
• Market research dashboards from scraped competitor data
• Operational KPI monitoring, reporting and alerting
• Customer segmentation and behavior analysis
• Financial data analysis and reporting
• Automated data quality monitoring
Tech stack: Python (Pandas, NumPy, Matplotlib, Plotly, Seaborn), SQL, Streamlit, Jupyter, Excel automation (openpyxl), PostgreSQL, SQLite.
I focus on delivering insights you can act on — not just pretty charts. Every analysis comes with clear methodology, assumptions stated upfront, and actionable recommendations.
Background: Master's in International Economics + Post-graduate in Investment Banking from Warsaw School of Economics. I combine technical data skills with business understanding.