Data Analyst specializing in Python, SQL, Power BI, and machine learning, with an aerospace engineering background focused on data-driven problem solving and analytical decision-making.
I combine engineering expertise with data analytics to transform complex datasets into actionable insights. My experience designing and testing aerospace systems, analyzing performance data, and applying Python-based analytics has strengthened my ability to identify trends, build predictive models, and communicate insights through visualization.
Currently focused on developing analytics solutions that support business intelligence, operational improvements, and data-driven decision-making.
- Python
- SQL
- Pandas
- NumPy
- Excel
- Jupyter Notebook
- Power BI
- DAX
- Matplotlib
- Seaborn
- Data Storytelling
- Scikit-learn
- Regression Modeling
- Feature Engineering
- Predictive Analytics
- SolidWorks
- CATIA
- Engineering Testing & Data Analysis
Machine learning project predicting aircraft engine Remaining Useful Life (RUL) using NASA C-MAPSS sensor data.
Tools: Python | Pandas | Scikit-learn | Random Forest | Data Visualization
Highlights:
- Built predictive maintenance model
- Performed exploratory data analysis
- Engineered RUL features
- Evaluated model performance using MAE and RMSE
Project Repository: https://github.com/tsionfisseha/aircraft-maintenance-analysis
SQL and Power BI project analyzing retail sales performance using the Superstore dataset.
Tools: SQL | SQLite | Power BI | Excel
Highlights:
- Built an interactive executive sales dashboard
- Analyzed sales trends, regional performance, and product profitability
- Created SQL queries to answer business questions
- Identified top-performing categories and products
Project Repository: https://github.com/tsionfisseha/superstore-sales-dashboard
Business intelligence project analyzing customer churn patterns using the Telco Customer Churn dataset.
Tools: Google Sheets | Pivot Tables | Interactive Charts | Data Visualization
Highlights:
- Analyzed customer churn drivers and retention patterns
- Built an executive-style dashboard with KPI cards and interactive charts
- Identified high-risk customer segments
- Presented insights to support customer retention strategies
Project Repository: https://github.com/tsionfisseha/customer-churn-analysis-dashboard
- Business intelligence dashboards
- SQL analytics projects
- Data visualization and storytelling
- Predictive analytics
- Real-world analytics case studies
Email: tsionfisseha39@gmail.com
GitHub: https://github.com/tsionfisseha