Hello, I'm
Zinah Alqeji

Data Management | Data Engineering | Data Analytics | Web Development

View my work
Professional portrait of Zinah Al Qeji

About Me

Professional portrait of Zinah Al Qeji

Zinah Alqeji

"I love turning ideas into real digital experiences."

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I'm a Data Management student at TUC Yrkeshögskola (2025–2027) with a Bachelor's degree in Computer Science and over 15 years of experience in finance, administration, and data handling. I bring business knowledge together with practical skills in Data Engineering, Data Analytics, and software development.

My experience includes financial transactions, reconciliation, reporting, discrepancy analysis, and process improvement. Through my studies and projects, I work with data pipelines, databases, data modelling, analysis, and interactive applications.

Data & Engineering: Python, SQL, Pandas, NumPy, ETL pipelines, Apache Spark, Databricks, Delta Lake, data cleaning and modelling.

Databases & Analytics: PostgreSQL, SQLite, MongoDB, Neo4j, Cypher, SQL Server, statistical analysis, data visualization, and BERT-based sentiment analysis.

Development & Tools: JavaScript, TypeScript, React, Next.js, HTML, CSS, C, C++, C#, Docker, Git, GitHub, Jupyter Notebook, Streamlit, Excel, and shell scripting.

Selected work: Nordtech ETL Pipeline, Beauty Lakehouse, Student Mental Health Analytics, Sweden's Changing Political Landscape, an AI-driven medical demo, and a multilingual Wedding Invitation App with an online RSVP system.

Languages: Chaldean Neo-Aramaic (native), Arabic (native), English (advanced), and Swedish (intermediate).

I'm interested in internships and opportunities in Data Engineering, Data Analytics, Data Science, and software development.

My Skills

Data Management & Engineering

Explore my data engineering toolkit

Languages & analysis
  • Python
  • SQL
  • Pandas
  • NumPy
  • Statistics
  • Data Visualization
Data platforms
  • Apache Spark
  • Databricks
  • Delta Lake
  • ETL Pipelines
  • Data Modelling
Databases
  • PostgreSQL
  • SQLite
  • MongoDB
  • Neo4j
  • Cypher
  • SQL Server
AI & tools
  • BERT
  • Streamlit
  • Docker
  • Jupyter Notebook
  • Git
  • GitHub
  • Excel

Technical Skills

HTML 90%
CSS 80%
JavaScript 85%
Python 75%
React 50%
C 80%
C++ 90%
C# 60%
Java 50%

Professional Skills

90%
Creativity
65%
Communication
75%
Problem Solving
85%
Teamwork

My Projects

Projects in data engineering, analytics and software development. Explore featured screenshots, live demos and source code.

Interactive Data Engineering Lab · Demo

Data Lab — Sales Analytics

Explore a responsive sales dashboard with filters, KPI metrics, SQL examples and an ETL workflow. Uses clearly labelled synthetic sample data; PostgreSQL deployment scripts included.

Python · Pandas · PostgreSQL · SQL · JavaScript · ETL

Explore Data Lab
Nordtech ETL Pipeline screenshot Data Engineering

Nordtech ETL Pipeline

Modular e-commerce ETL pipeline: cleaned and standardized data, analyzed multilingual customer-review sentiment with BERT, stored results in SQLite, and built KPI views with Streamlit.

Python · Pandas · NumPy · BERT · SQLite · Streamlit

View on GitHub Live Dashboard
Wedding Invitation App screenshot Full-Stack Development

Wedding Invitation App

Multilingual digital invitation with responsive design, online RSVP, server-side validation, Supabase database storage, and spam protection.

Next.js · React · TypeScript · Supabase · PostgreSQL · Cloudflare Turnstile

View on GitHub Live Demo
AI-Driven Medical Demo Website screenshot Web Development · University Demo

AI-Driven Medical Demo Website (Demo Page)

University medical-technology prototype featuring an interactive interface and 3D-model visualization. A demonstration project, not a clinically validated medical system.

HTML · CSS · JavaScript · Python · Docker

View on GitHub Live Demo
To-Do List screenshot Frontend Development

To-Do List

A simple task-management application for adding, completing, and deleting daily tasks.

HTML · CSS · JavaScript

View on GitHub
Data Architecture

Beauty Lakehouse

Lakehouse pipeline using Apache Spark, Databricks, and Delta Lake, with curated tables, KPI modelling, and customer/product/order relationships in MongoDB and Neo4j.

Spark · Databricks · Delta Lake · MongoDB · Neo4j

Explore GitHub profile
Data Analytics

Student Mental Health Analytics

Analyzed approximately 27,900 student survey responses using SQLite, data cleaning, feature engineering, statistics, and interactive visualizations.

SQL · SQLite · JavaScript · Google Charts

Explore GitHub profile
Data Analytics · Team Project

Sweden's Changing Political Landscape 2018–2022

Explored changes in Swedish voting patterns by combining election results with demographic and socioeconomic data.

SQL · JavaScript · Google Charts · Statistics

Explore GitHub profile

Contact Me

zinah.poulus@gmail.com
+46 796 160 232

Interested in collaborating or discussing an opportunity? Get in touch.

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