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Yonatan Yohannes

@yonatanyohannes

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Aspiring software engineer with a strong foundation in data analysis.

United States

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth.

I am a dedicated computer science student at the University of Virginia, where I have honed my skills in software engineering and data analysis. With a GPA of 3.66, I have engaged in rigorous coursework that includes algorithms, software development, and cybersecurity, equipping me with a solid technical foundation. My recent internship at Freddie Mac allowed me to spearhead enhancements for the Loan Portfolio Management System, significantly improving system capabilities and performance.

In addition to my internship experience, I have developed several projects that showcase my technical abilities. I created a machine learning-based sentiment analysis platform that processes over 10,000 tweets monthly, achieving a prediction accuracy of 92%. My full-stack web application for personal expense tracking demonstrates my proficiency in integrating various technologies, including Spring Boot and React, to deliver a seamless user experience. I am passionate about leveraging technology to solve real-world problems and continuously seek opportunities to grow and contribute to innovative projects.

Experience

Work history, roles, and key accomplishments

Software Engineer & Data Intern

Freddie Mac

May 2023 - Dec 2023 (7 months)

Spearheaded enhancements for the Loan Portfolio Management System, improving system capabilities and performance. Implemented a GUI for the loan file upload portal, reducing file upload errors by over 30%. Designed a scalable codebase using Django, achieving 80% unit test coverage.

Django Python Unit Testing Systems Performance Agile Problem Solving

Machine Learning-Based Sentiment Analysis Platform Developer

Personal Project

May 2023 - Dec 2023 (7 months)

Created a sentiment analysis platform using XAPI to analyze tweets, achieving 92% prediction accuracy. Utilized Python with Pandas and scikit-learn for data processing and built a real-time UI with HTML and JavaScript.

Python Pandas NumPy scikit learn HTML JavaScript SQL Git Data Analysis

Full-Stack Developer

Personal Project

May 2023 - Dec 2023 (7 months)

Developed a personal expense tracker web application using Spring Boot and React, integrating with the Plaid API. Built a PostgreSQL backend for efficient data management and created an interactive dashboard for user insights.

Spring Boot React PostgreSQL API Integration Git User Interface Design Data Visualization

Weather Forecasting App Developer

Personal Project

May 2023 - Dec 2023 (7 months)

Developed a real-time weather forecasting application using Python for backend processing and HTML/JavaScript for frontend. Managed project versions with Git for continuous integration and deployment.

Python HTML JavaScript API Integration Git Project Management

Education

Degrees, certifications, and relevant coursework

University of Virginia

Bachelor's, Computer Science

2020 - 2024

Grade: 3.66

Studied Computer Science with a focus on various relevant coursework including Program and Data Representation, Algorithms, Software Development, and Cybersecurity. Achieved a GPA of 3.66.