MUHAMMAD HARIS

Versatile and future-focused tech professional with a strong foundation in Data Analytics, MIS Reporting, and Business Intelligence, currently contributing to strategic decision-making at Allied Bank Head Office. Adept in SQL, Power BI, automation scripting (Selenium), and AI integration, with hands-on experience streamlining reporting workflows and building real-time bots for process optimization. Demonstrates a unique ability to bridge business needs with technical innovation, combining deep analytical insight with emerging tech like IoT, RPA, and intelligent automation. Passionate about driving digital transformation within banking and corporate environments through scalable, data-driven solutions.

PROJECTS

Automation Developer (RPA Project)
SIXT Dispatcher Ride Acceptance Bot

• Developed a Python-based automation tool using Selenium WebDriver to streamline the Sixt car rental booking process
• Created robust web scraping functionality that automatically navigated the Sixt interface to extract real-time pricing data
• Implemented customizable search parameters allowing users to identify optimal rental options based on their specific needs
• Reduced manual search time by approximately 85% while ensuring access to the most competitive rental rates
• Built comprehensive error handling and notification systems to maintain reliable performance through website updates and UI changes
• Used Docker and configurable JSON setups for modular deployment and ease of customization.

Game Developer (Final Year Project)
C++ Game Development in Unreal Engine 5

• Architected and implemented a 3D game prototype in Unreal Engine 5 using C++, focusing on modular, reusable gameplay classes.
• Developed core mechanics—including character movement, combat interactions, and physics-based puzzles—leveraging UE5’s enhanced animation and physics systems.
• Created and integrated UI/HUD elements with Unreal Motion Graphics (UMG) for health, score, and interactive menus.
• Optimized rendering and performance using UE5’s Nanite and Lumen, achieving stable 60 FPS on target hardware.
• Managed asset pipelines and collaborated with artists to import custom meshes, animations, and particle effects.
• Employed Git for version control and set up basic CI workflows to ensure build integrity.

(NOCs Project)

SDN-Based DDoS Attack Mitigation Using ML & DL

• Designed and implemented a software‑defined networking (SDN) framework to detect and mitigate volumetric and application‑layer DDoS attacks in real time.
• Developed traffic‑monitoring modules that leverage reconfigurable intelligent surfaces (RIS) to capture and analyze flow metadata for anomaly detection.
• Trained and fine‑tuned multiple machine learning and deep learning models (e.g., random forests, CNN autoencoders) on synthetic network traffic to maximize detection accuracy and minimize false positives.
• Integrated the detection engine with OpenFlow controllers to automate network reconfiguration and isolate malicious sources without human intervention.
• Evaluated scalability and performance—achieving sub‑second detection latency and during high‑throughput attack scenarios.