Selamawit Zemecha
linkedin.com/in/selamawityirgalem
github.com/SelamZem
kaggle.com/selamzem
Education
02/2026
Bachelor of Science in Computer Science
Saint Mary's University
GPA: 3.8/4.0
05/2025 – 11/2025
Data structures and Algorithm
Africa to Sillcon Valley(A2SV) - Remote
Engaged in an intensive Data Structures & Algorithms program, strengthening problemsolving and algorithmic skills through hands-on coding challenges.(leetcode challenges)
Skills
Data Analysis & Visualization
pandas, Matplotlib, Seaborn, Power BI
Programming Languages
Python,C#,C++, SQL
Web Development
HTML, CSS, Flask, Django
Microsoft Office Tools
Soft Skills
Problem-solving, Communication, Teamwork
Professional Experience
12/2025 – 02/2026
Data and Visual Analyst
Shega Media
Cleaned and transformed data from Azure Databricks using Power Query for accurate
reporting and analysis.
Built interactive Power BI dashboards to track key metrics, trends, and performance.
Developed DAX queries to create calculated measures, KPIs, and time-based analysis.
Analyzed large datasets and optimized data models to deliver clear, actionable insights
and improve report performance and refresh times.
•
•
•
•
09/2025 – 12/2025
Data and Research Analyst
Shega Media - intern
Integrated and standardized data from 15+ sources using Airtable to support reliable
economic data management and analysis.
Used Excel for data cleaning and transformation to prepare datasets for analysis and
reporting.
•
•
07/2025 – 10/2025
Data Analyst
Ethioware EdTech Initiative - Intern
• Processed and analyzed over 10,000 raw data entries using Python for educational
research.
• Explored key patterns and trends using Matplotlib and Seaborn to support data-driven
conclusions.
• Designed more than 15 visualizations to communicate findings effectively to
stakeholders.
• Delivered actionable insights that guided process improvements and content strategy.
Projects
Housing Prices in California (Regression)
• Built a regression model using scikit-learn to predict housing prices across 20,000+ records.
• Applied feature selection, data scaling, and hyperparameter tuning to improve model performance by 15%.
UCI Heart Disease Classification
• Developed a classification model using scikit-learn to predict heart disease presence, achieving 60% accuracy.
Applied feature selection and data preprocessing to improve model accuracy.
• Evaluated results using accuracy, precision, and recall metrics for improved reliability.
•
Care Coffee
Django E-commerce Web Application
• Built a full-stack e-commerce platform enabling product browsing, shopping cart, and online order placement.
• Implemented user authentication, profile management, and an admin dashboard for 20+ product records.
• Integrated Chapa payment gateway for seamless online transactions.
• Designed a clean, functional interface tailored for small business scalability.
Certifications
Google Data Analytics
Ask Question to Make Data-Driven Decisions
Prepare Data for Exploration
Process Data from Dirty to Clean
•
•
•
Applied Data Science - WorldQuant University
Introduction to Calculus(Coursera)
SQL for Data Science(Coursera)
Python - Kaggle
