I work with financial software systems and business processes, where I’ve gained hands-on experience in how real-world data is captured, structured, and used for decision‑making. My background includes implementing and supporting integrated financial systems, working with business workflows, and collaborating with technical and non‑technical teams.
- Python (Pandas, Requests, Web Scraping)
- Scala (Basics for Apache Spark)
- SQL (T‑SQL, PostgreSQL)
- Linux Shell Commands
- SQL Server
- PostgreSQL
- MongoDB (NoSQL)
- Power BI (Dashboards, Modeling, DAX fundamentals)
- Grafana
- API Integration (REST / Web Services)
- Data Cleaning & Transformation
- Process Design & Workflow Optimization
Interactive multi-page dashboard analyzing music sales, customers, albums, and artists.
A full analytical report including KPIs, filters, and multi-sheet insights.
A simple desktop tool for navigating local files and directories.
I’m expanding my expertise into Data Engineering, focusing on:
- ETL pipelines
- Data warehouse concepts
- Working with structured & unstructured data
- Automation and workflow optimization
I enjoy solving analytical challenges, organizing messy data, and transforming it into meaningful insights.
- LinkedIn: https://linkedin.com/in/samira-siavash
- GitHub: https://github.com/SamiraSiavash
Let’s connect and talk about data, BI, and engineering solutions!