Muhammad Bilal

Academic

Career

Verbatim text

Muhammad Bilal
+923077237285, bilalqazi.1856@gmail.com
More Khunda, Nankana Sahib.
LinkedIn: linkedin.com/in/muhammad-bilal-29573a241
Education
FAST - National University of Computer and Emerging Sciences, Islamabad.
Bachelor of Science (Computer Science)
Major: Data Science, Deep Learning, Data Analytics, Data Visualization, Datamining, Machine Learning and Software Project Management & Engineering.
Punjab College of Science, Faisalabad Punjab
F.Sc (Physics, Chemistry, Mathematics)
KIPS College ,Lahore
Matriculation (Physics, Chemistry, Computer Science)
Projects
Final Project: MITCOUNT (Web APP that takes Histopathological images for breast Cancer and Display images with mitotic count)
This is a R&D project for breast cancer detection, take histopatholoical images of breast taken by Machine Aperio and Hamamatsu.
Semester Projects:
Dodge 'em a linux-based c++ game which includes GUI .the main concepts of this game is to make a car game. you need to avoid collision with walls and your enemy
Super Mario Game assembly language based game that includes 3 levels and difficulty increases in each level. Design Graphics along with basic functionality.
Resturant Managment System In this project I use threads and semaphores to manage all customer with only a few number of cook and waiters and make sure one cook is cooking a dish at a time and a waiter serves a single table at a time.
TORCS the Open Car Simulator In this project we are training a 2D car in game and make it autonomous. For this purpose we 1st collected a data set by playing game through controls and now using linear regression and decision tree we are training the car.
University Admission Chances In this project we took data from kaggle having multiple features and after apply multiple data pre-processing techniques .Finally apply XGboost algorithm to checkout students admission chances.
Skills & Tools
Professional Skills Leadership, Interpersonal Skills, Communication.
Technical Skills Python, Tensor Flow, My SQL, Sci-kit Learn, Artificial Intelligence, Deep Learning, Digital Image processing, Applied Evolution Computing
Achievements
Awarded with 70 % Scholarship of no tuition fee at college level.
Awarded with certificate for Organizing (Badminton ) Battle of Batches and Nascon 21.
Trainings / Certification
1. Supervised Machine Learning: Regression and Classification (Coursera)
2. Scikit-Learn to Solve Regression Machine Learning Problems (Coursera)
3. Advanced Learning Algorithms (Coursera)
Activities
Serve as Badminton Captain (2021-2022)
Interests
Playing Sports and Reasearch

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