Muneeb Ul Hassan

Developed an end-to-end machine learning pipeline for sales data analysis, performed feature engineering and EDA. Trained Random Forest model, scaled features using StandardScaler, and evaluated performance using (MAE).

Researcher @ LIG lab within MRIM team. Working on deep learning with Computer Vision

Working in the Quality Assurance department (QA), which is responsible for testing the low, middle and high-end FUJITSU server products called PRIMERGY Servers. My work focus is mainly automating and optimizing (TAO) QA server tests and everything around testing for the whole department, by providing them with newly developed software. Some of the technology which I worked on: - Spring Boot -Mongodb -wmi/StorCli

Worked on Java and Swing. Responsible for developing new functionalities and also design the UI for the functionality. Fix bugs in the current system and enhance it with day to day requirements. Responsible to write queries to get data for the users. Also write a report of day to day work and report it to the Manager.

Worked on ASP.NET. Responsible for making webpages and also design the UI.

Probabilistic Data Mining, Machine Learning, Large Scale Data Management, Convex Optimisation, Advance Learning Models, Advance Algorithms for Machine learning, High Performance Computing for Mathematical Models, Information Access and Retrieval, Category Learning and Object Recognition

Distributed System, Cryptography and Security, Data Mining, Big Data Processing, Master Thesis

Artificial Intelligence and Robotics, Communication System, Computer Architecture and Design, Computer Communication Networks, Computer Engineering Workshop, Data Structures and Algorithms, Database Management System, Digital Signal Processing, Discrete Structures, Information Theory