Data Analysis
- Data Cleaning
- Exploratory Data Analysis
- KPI Analysis
- Business Insights
- Data Visualization
- Problem Solving
JUNIOR DATA ANALYST
Turning data into insights.
Junior Data Analyst with a Mechatronics Engineering background, focused on SQL, Power BI, Python, and data visualization. I turn raw data into clear analysis, interactive dashboards, and actionable insights.
Open to Junior Data Analyst opportunities
PROFILE
About Me
I'm M. Zain Kabbany, a Junior Data Analyst with a background in Mechatronics Engineering and a strong interest in data-driven problem solving.
My engineering background has developed my analytical thinking, technical problem-solving, and ability to break complex problems into manageable steps. I apply that mindset to data analysis using SQL, Power BI, Python, and data visualization.
I enjoy working through the full analytical process—from understanding a question and preparing the data to analyzing patterns, building dashboards, and communicating insights clearly.
I'm currently building practical experience through internships and hands-on projects, with a focus on Data Analysis and Business Intelligence.
CAPABILITIES
Skills & Tools
The tools and analytical skills I use to turn raw data into meaningful insights.
SQL
- SELECT & Filtering
- JOINs
- GROUP BY & Aggregations
- CTEs
- Analytical Queries
Power BI
- Interactive Dashboards
- Data Modeling
- DAX
- KPI Development
- Data Visualization
Python
- Pandas
- Matplotlib
- Jupyter Notebook
Other Tools
- Excel
- SPSS
WORK
Featured Projects
Practical data analysis projects where I use data to answer questions, identify patterns, and communicate insights.
Zain Bike Share Analysis
CompletedA bike-sharing operator needs to know when and why demand peaks — and how casual riders differ from registered members. This project answers that with SQL analysis and an interactive Power BI dashboard.
- SQL
- Power BI
- Power Query
- DAX
- Data Modeling
- Data Visualization
World Cup Historical Overview
CompletedDecades of FIFA World Cup records sit scattered across tables. This project turns them into one interactive Power BI dashboard where tournament history, team performance, and match statistics can be explored and compared.
- Power BI
- Power Query
- DAX
- Data Modeling
- Data Visualization
HR Analytics
CompletedHR teams need to see where attrition is concentrated and which parts of the workforce need attention. This project turns raw employee data into a multi-page Power BI dashboard that answers exactly that.
- Power BI
- Power Query
- DAX
- Data Modeling
- Data Visualization
Sales Data Analysis: Customer, Product & Revenue Insights
CompletedA retail business needed to know where its revenue actually comes from — which products, customers, markets, and months drive sales. This Python analysis answers that and turns the findings into concrete recommendations.
- Python
- Pandas
- Matplotlib
- Jupyter Notebook
- VS Code
JOURNEY
Experience & Education
Experience
Data Analysis Intern
2026 – PresentYasmeen AI
Developing practical experience in Data Analysis through hands-on work with real datasets and analytical tasks. Applying SQL, Power BI, Python, and data visualization techniques to explore data, identify patterns, and communicate insights.
Data Analysis Intern
Evvelo Pathways
Working on practical data analysis tasks, using SQL, Power BI, Python, and data visualization to prepare data, explore patterns, and present insights clearly.
Education
Mechatronics Engineering
University of Aleppo
Engineering studies combining mechanical engineering, electronics, control systems, programming, and technical problem-solving.
Explore My Work
Want to see how I work with data? Explore my GitHub repositories for project documentation, SQL queries, Power BI dashboards, Python notebooks, datasets, and analysis.
View My GitHubCONTACT
Let's Connect
I'm a Junior Data Analyst focused on SQL, Power BI, Python, and data visualization. I'm open to Junior Data Analyst opportunities where I can apply my analytical skills, contribute to real-world projects, and continue growing as a data professional.