Ben Bandarker

🧠 Languages

Java C++ Python JavaScript TypeScript

🔧 Frameworks & Tools

Node.js Express.js React MySQL Git Linux AWS

📚 Core Concepts

Object Oriented Programming Data Structures Algorithms REST API Cloud Computing Map-Reduce

🧲 Testing & Debugging

Unit Testing Debugging Techniques Code Reviews

Football Stats Backend

Technologies: Node.js, Express.js, MySQL

Developed a scalable backend system to manage and query real-time football statistics.

I designed and implemented RESTful APIs with robust validation and filtering logic using a modular Node.js and Express.js architecture connected to a MySQL database.

This resulted in a clean and efficient system that supports fast data exploration and reliable access to team, match, and player insights.

View on GitHub

Sarcasm Analysis

Technologies: Java, AWS (S3, EC2, SQS)

Built a distributed Java application that analyzes sarcasm in Amazon reviews using NLP techniques and AWS cloud services.

The system leveraged S3 for data storage, EC2 for computation, and SQS for asynchronous messaging.

I designed a producer-consumer architecture that enabled scalable parallel processing, resulting in efficient and reliable sarcasm classification across large datasets.

View on GitHub

Collocation Extraction

Technologies: Java, Hadoop, AWS EMR

Processed massive linguistic datasets using MapReduce to identify word pairings based on statistical significance.

I built a Hadoop pipeline in Java and deployed it on AWS EMR to analyze Google 2-gram data, computing PMI scores to extract meaningful collocations.

The result was a high-performance, cost-effective solution for large-scale linguistic analysis.

View on GitHub

SET Game (Multithreaded)

Technologies: Java

Simulated the SET card game using Java with a fully concurrent architecture.

I applied object-oriented design and multithreading principles to manage real-time gameplay logic, synchronize player threads, and handle edge cases.

This project demonstrates my ability to design interactive systems with complex concurrency and correctness requirements.

View on GitHub

B.Sc in Computer Science, Ben Gurion University, 2021–2024

GPA: 81.3

Courses: Data Structures, Algorithms, Operating Systems, Distributed Systems, Database Systems, System Programming

Developed strong foundations in computer science through hands-on and theoretical coursework in object-oriented programming, data structures, algorithms, and cloud computing.
Gained practical experience with languages and tools such as Java, C++, C, Python, JavaScript, TypeScript, Linux, and AWS (EC2, S3, SQS, EMR).
Explored distributed systems and big data processing with technologies like MapReduce.
Throughout my studies, I gained both theoretical and practical knowledge, while strengthening my ability to independently explore and adopt new technologies, as well as collaborate effectively in team environments.

"Moshal" Program Member, 2021–Present

Participant in the Moshal Program — a selective international initiative that empowers students through academic mentorship, leadership training, and personal development.
The program fosters excellence, resilience, and long-term career growth.

AWS Certified Cloud Practitioner – Issued July 2025