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

A Python-based web scraping project that collects structured perfume product data (brand, prices, titles, photos, ratings) from Liliome.com and stores it in a SQLite database.
Tech: Python, Requests, BeautifulSoup, SQLite Focus: Web data extraction, data cleaning, and structured storage for analytics.

A browser automation tool using Selenium to download and organize Excel files, demonstrating real-world automation patterns.
Tech: Python, Selenium, Excel Focus: Process automation, file handling, and repeatable data ingestion workflows.

A full-featured application for managing user data including registration, authentication, and profile operations.
Tech: Python, SQLite Focus: Structured data modeling, CRUD operations, and application-level data management.

A desktop-style file explorer tool with navigation, file operations, and UI interactions.
Tech: Python, Tkinter Focus: File system interaction, data organization, and user-driven data operations.

A comprehensive Grafana dashboard for visual analytics on the classic Northwind dataset.
Tech: Grafana, PostgreSQL, Data Visualization Focus: KPI-driven dashboards, analytical reporting, and data visualization.

An interactive dashboard visualizing student performance metrics, built with Power BI, custom measures, and clean visuals.
Tech: Power BI, DAX, Data Modeling Focus: Data modeling, DAX measures, and insight-driven BI reporting.

A simple and intuitive phonebook application for managing contacts, including add/edit/delete functionality.
Tech: Python Focus: Basic data storage, validation, and CRUD-based data handling.

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
• Email: s.siavash.m@gmail.com

Let’s connect and talk about data, BI, and engineering solutions!