Umar Shahid
Data Scientist

Download PDF version Find CV here https://umarshahid.github.io/Profile/

Technical Skills

Python
++++
Pandas
++++
NumPy
++++
PyQt5
++++
Statistics
++++
C/C++
+++
MATLAB
++++
Latex
+++

Professional Experience

Pakistan Air Force, Islamabad

Data Scientist

11/2021 - Present

  Responsibilities:

  Development 4 major modules for analysis of Airforce's training
  Development of Video, Audio and Text Data analysis tools
  Creation of an Integrated Environment for all three tools to operate comprehensively
  Comprehensive Data Recording on a Client/Server Environment
  Descriptive Data Analysis & Visualization and Stream Back to Network
  Review and Analyze Comprehensive Video and Audio Playback
  

Python Pandas NumPy Data Science Data Analysis Statistics & Probablity PyQt5

Research Center for Modeling and Simulation, NUST, Islamabad

Research Assistant

Oct 2019 – Oct 2020

  Brain State Monitoring of Pilot During Flight with Head Mounted Device using Machine Learning.

  Responsibilities:

  * Data collection for EEG based brain state monitoring
  * Descriptive data analysis and visualization using MATLAB
  * Data classification and prediction using Machine and Deep Learning Techniques
  * Assistance to Project Supervisor
    

AI, ML & DL Neuro-ergonomics Brain Computer Interface (BCI) Electroencephalography (EEG)

Education

MS Systems Engineering, (Communication Systems and Networks)

National University Of Sciences and Technology (NUST), Islamabad

Sep 2018 – Oct 2020

  

Data Science Neuro-ergonomics Human Computer Interface (HCI)

BS Information Technology, (Computer Sciences, Artificail Intelligence)

The Islamia University of Bahawalpur (IUB), Bahawalpur

Sep 2018 – Oct 2020

  

Software Developement Artificial Intelligence

Master's Thesis

EEG Based Mental Workload Assessment Using Machine Learning, NUST, Islamabad

Under Supervision of Dr. Shahzad Rasool, Dr Adnan Maqsood & Dr. Ammar Mushtaq

Oct 2019 – Oct 2020

EEG is an objective assessment technique used to record brain activities to monitor brain states such as, stress, emotions, drowsiness and workload. In this research, EEG is employed to assess mental workload from human brain. We developed a pipeline for real-time EEG based mental workload assessment using deep & machine learning.

AI ML & DL Neuro-ergonomics Brain Computer Interface (BCI) Electroencephalography (EEG)

Projects

Hobies: Sketeching Book Reading Music Surffing Internet