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Bachelor of Computer Science

QA Automation Engineer

Malware Detection Project with Work Beetles

🔍 Project Overview:
The collaboration between Work Beetles and cutting-edge Machine Learning (ML) models aims to enhance cybersecurity by detecting and preventing malware threats efficiently. The project focuses on identifying malicious software behavior rather than relying on traditional signature-based detection.

🛠 Key Features:
✅ Behavior-Based Detection – Uses ML to recognize abnormal system activity.  
✅ Anomaly-Based Classification – Identifies previously unknown malware threats.  
✅ Real-Time Analysis – Ensures proactive threat prevention.  
✅ Automated Threat Response – Reduces false positives and improves detection accuracy.  

📌 Machine Learning Techniques Used:
- Supervised Learning – Training models on labeled malware datasets.  
- Unsupervised Learning – Detecting unknown threats using clustering.  
- Deep Learning (CNN/RNN) – Recognizing complex malware patterns.  
- Natural Language Processing (NLP) – Analyzing malicious s

Data Scientist

Python Developer

Supports solutioning, accelerator development, and client co-delivery across 3X Data Engineering engagements. Works directly with client teams during delivery to support adoption, resolve edge cases, and ensure accelerator outputs meet program requirements.

Data Analyst

Helping data teams with the mindset, tools, and modern practices to accelerate the data engineering lifecycle.

Know about Mubasheer Ahamed's work experience, education, and much more. Mubasheer Ahamed