Muhammad Nauman Nasir

Role: Software Development for Steering Wheel Angle Sensor (Hysteresis and its effect on Driver Drowsiness Detection Feature) • Optimized drives signal data by applying signal processing, Optimization, Data analysis and machine learning techniques to develop a model. Model Development. • Goal is to get optimized, cost effect and efficient system. • MATLAB, C, Uniview, (ASCET Just basics). Skillset developed: Programming, Machine learning, Data Analysis, Data Optimization, Signal Processing.

Model-Based Systems Engineering (MBSE) using UML/SysML with the IBM Rational Rhapsody software/systems simulation tool. • Worked with Airbags System Architecture design department for (MBSE) using UML/SysML with the IBM Rational Rhapsody software/systems simulation tool. • SysML Diagrams for AirBag12 Features in Rhapsody. • Worked with Data Acquisition Team (Data Analysis, Data Optimization),C. • Tools and methodologies: VBA ,IBM Rational Rhapsody,UML,SysML,C

Role: Development of Test Board for Validation of Thin film transistor (TFT) for Head up Display (HUD) from supplier. • Development of a test board for the calibration of Thin Film Transistor for Head up Display. • Tools and methodologies: C, CAD soft Eagle, Microcontroller, SPI, ADVARK, Beagle.

Developer for Engineering Process Group team for SW and Project Management related Softwares • Responsible for official presentations in power point and used Excel for different Applications. • Handling Confluence pages for (Engineering Process Group) Team. • Helped in Role descriptions used in Harman. • Used Defect Tracking tool Jira. • Programming in C • Tools and methodologies: Confluence, Jira, Procom, office suit, C .

• Applied Data Analysis, Data Optimization, Machine Learning, Signal Analysis, Optimization techniques in MATLAB on data received from Energy Suppliers about Energy utilization. • On the basis of data developed an approach to minimize the errors and maximize efficiency. • Tools and methodologies: MATLAB, C.

Software Developer for sensor Data handling • Optimized Data from different sensors used for motor speed control. • Applied Machine learning, Data Optimization, Data analysis, Signal Analysis Techniques to improve efficiency of motor. • Worked on PLC (Programmable Logic Controller) • Ladder Logic Programming • Tools and methodologies: MATLAB, C, PLC, Ladder Logic Programming.

• Signal Processing, Signal Analysis, Data Analysis, Machine learning, Optimization. • Tools and methodologies: MATLAB, C.

• Learned basics of Alcatel SDH, PDH, SONET, 3G, 2G, systems. • Knowledge of network management, Diversity, Network Planning Topology. • Analyzed Antennas signals for Network Planning team for better hopping of signals. • Applied Signal Analysis, Signal Processing, Optimization techniques. • Tools and methodologies: MATLAB, C.

• MSc Electrical Engineering and Information Technologies Focus on Automotive ,communication and IT

Control Systems, Data Science, Programming ,Power Electronics Electrical Engineering with focus on Power and IT