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Muhammad Hassan

FAST · 2022
Email
hassanapple08@gmail.com
Phone
+923055284466
LinkedIn
https://www.linkedin.com/in/muhammad-hassan-4a445b208/
GitHub

Academic

Program
Bachelor of Science (Computer Science)
CGPA
Year
2022
Education
FAST - National University of Computer and Emerging Sciences
Address
Bahria Town, Rawalpindi
DOB

Career

Current role
Target role
Skills
Problem Solving, Quick Learner, Team Work, C++, Go, Python, HTML, CSS, java script, SQL, Socket programming, Solidity, BurpSuite, Assembly Language, Hadoop, Cisco packet Tracer, React-js, Tweepy, Flask, Mongo-DB, Kendo, Kali Linux, Aircrack-ng, Airgeddon, C++, MPI, OpenMPI, Oracle, php, sql, MERN Stack, Trello, Scrum

Verbatim text

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Muhammad Hassan  
+923055284466, hassanapple08@gmail.com  
Bahria Town, Rawalpindi. 
LinkedIn: https://www.linkedin.com/in/muhammad-hassan-
4a445b208/ 
 
Education 
FAST - National University of Computer and Emerging Sciences, Islamabad.  
Bachelor of Science (Computer Science) 
2022 
Major:  
Data Science, Datamining, Machine Learning, Blockchain, Cloud Computing, Natural Language 
Processing and Ethical Hacking. 
Army Public School and College Fort Rd., Rawalpindi Punjab 
2018 
F.Sc (Physics, Chemistry, Mathematics) 
Army Public School and College Chaklala Garrison, Rawalpindi Punjab 
2016 
 
Matriculation (Physics, Chemistry, Computer Science) 
Projects 
Final Project: Social-Media-Investigator [React-js,python,Tweepy,Flask,Mongo-DB,Kendo] 
A web Dashboard which recognizes the disinformation campaign against Pakistan by generating the sentiment of the 
trend along with the bot-percentage involved in the trend. It analyzes such trends and generates a report based on 
data.It also provides the feature to counter such negative trends 
Semester Projects: 
Blockchain [Solidity] :  
An Ethereum Smart Contract using solidity and ganache (Blockchain based property dealing) 
Ethical Hacking [Kali Linux, Aircrack-ng, Airgeddon]:  
Using a fake access point connecting another device and after social engineering important information from the 
victim. 
Information Security [Python] :  
Steganography - Hiding/Unhiding an Image inside another image and also encrypting it for two factor security.  
Artificial Intelligence [C++] : 
Exam Schedule Generator using genetic algorithm for constraint satisfaction problem. 
AI Based Chess Bot- Implementing using minimax algorithm and alpha beta pruning for optimization 
Web Programming [MERN Stack]:  
Using MERN stack to make a web based Theater Management System. 
Software Engineering [Trello, MERN Stack]: 
Attendance Management System using full software development cycle i.e. Scrum/ 
Data Base [Oracle, php, sql]: 
School Management System by implementing all the concepts of DBMS. 
Parallel and Distributed Computing [C++, MPI, OpenMPI]: 
Password cracking using shadow file to extract hash and then cracking the hash. 
Work Experience 
Teaching Assistant for Data Structures, FAST University, Islamabad. 
Fall 2020  
Skills & Tools 
Professional Skills: 
Problem Solving, Quick Learner, Team Work. 
Technical Skills: 
C++, Go, Python, HTML, CSS, java script, SQL, Socket programming, Solidity, BurpSuite, 
Assembly Language, Hadoop, Cisco packet Tracer. 
Achievements 
Vice Captain Fast Basketball Team 2021. 
Organized a seminar at Fast University by Waqar Azim Senior Director - Quixel at Epic Games 
Activities 
Coordinator for ‘Bug Catcher’ in NaSCOn’19. 
Interests 
Sports, Politics, Basketball.

AI enrichment

Muhammad Hassan is a 2022 Computer Science graduate from FAST University with a focus on data science, machine learning, and cybersecurity. He has practical experience through academic projects involving web development, blockchain, and ethical hacking, along with a teaching assistant role.
Skills (AI)
["Python", "C++", "Go", "JavaScript", "Solidity", "React", "Flask", "MongoDB", "SQL", "Ethical Hacking", "Machine Learning", "Blockchain", "Data Science"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 117
Created: 1778149999