David Synovic

About Me

I'm a dedicated Computer Science student at the University of Missouri with a passion for AI, data analysis, and database systems. My coursework and projects have provided me with strong foundations in programming, data structures, and database design.

I'm actively seeking Summer 2026 internship opportunities where I can apply my technical skills in AI and data science and continue learning in a professional environment. My experience in team collaborations through hackathons and engineering clubs has prepared me to contribute effectively in dynamic work settings.

Open to Summer 2026 Internships

Looking for opportunities in AI, data science, and software engineering roles.

Get In Touch

Davidsynovic@gmail.com

847-302-3121

linkedin.com/in/david-synovic

github.com/davidsynovic

Education

University of Missouri, Columbia, MO

Expected May 2028

Bachelor of Science in Computer Science & Information Technology

GPA: 3.4

Relevant Coursework:

Data Structures
Database Systems
Programming (Python, Java)
Statistics
AI & Machine Learning Fundamentals

Projects

AI Project

Sentiment Analysis Model

Personal Project

Developed a machine learning model that classifies text sentiment as positive, negative, or neutral
Implemented using TF-IDF vectorization and Logistic Regression in Python
Built a complete project structure with training pipeline and model serialization

View on GitHub

AI Project

Introduction to AI Models

Learning Portfolio

Exploring fundamental AI concepts and model architectures through hands-on projects
Working with various datasets and implementing different machine learning approaches
Documenting learning progress and project implementations on GitHub

Explore My GitHub

Database Design & Analysis Project

University of Missouri

Designed and implemented a relational database for managing product and customer data using SQL

Hack-a-thon Project

Mizzou Engineering Club

Collaborated in a 4-person team to build a prototype app that analyzed and displayed inventory and order data

Statistics & Data Analysis Coursework

University of Missouri

Applied data analysis techniques to interpret large datasets in Excel using pivot tables, lookups, and charts

Skills

Languages & Tools

SQL Python Java Excel Google Sheets Power BI Tableau GitHub

AI & Data Concepts

Machine Learning Data Modeling Relational Databases ETL Fundamentals Data Profiling Reporting Dashboards Process Mapping Data Visualization

Soft Skills

Communication Collaboration Organization Analytical Problem Solving Time Management

Computer Science Student | AI Enthusiast