← Back to cohort

Muhammad Shahzeb Ali

FAST · 2020
Email
shahzebaligujjar@gmail.com
Phone
+923409402142
LinkedIn
https://www.linkedin.com/in/shahzeb-ali-8a6973163/
GitHub

Academic

Program
BS Computer Science
CGPA
Year
2020
Education
Address
DOB

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
Muhammad Shahzeb Ali
+923409402142, shahzebaligujjar@gmail.com
Sector E-11/2, Islamabad.
LinkedIn: https://www.linkedin.com/in/shahzeb-ali-8a6973163/
Education
Bachelor of Science (Computer Science)
Major:
Data Science: Deep Learning, Data Analytics, Data Visualization, Digital Image Processing,
DataMining, Machine Learning, Software Project Management & Engineering, Data Structures,
Artificial Intelligence, Applied Evolutionary Computing, MultiAgent Systems, IOS Development,
Organization Behaviour and Leadership
Punjab College of Science, Sargodha, Punjab
F.Sc (Physics, Chemistry, Mathematics)
The Iqra Grammar School, Sargodha, Punjab
Matriculation (Physics, Chemistry, Biology)
Projects
Final Project: Summix- Automated Privacy Policy Analyzation and Summarization: [Natural Language Processing,
Deep Learning, Android]:  The Project aims at Automating the process of Privacy Policy Analyzation and
Summarization by extracting key features of Privacy Policies and generating an extractive and abstractive description
of the key information. Used Natural Language Processing Techniques and Deep Learning Models.Also developed an
Android app “SUMMIX”.
Semester Projects:
Torcs - Simulator : [Python, Java, Artificial Intelligence]
Designing a controller for a car racing simulator that can race with other cars.
Topic Modelling : [Deep Learning, Natural Language Processing]
Generating Topics of text using LDA Topic Modelling.
Image Data Set as Multi-Class Classification Problem : [Data Mining, Data Visualization, Cifar-10 CNN]
Each sample is assigned to only one label. (Cubic Interpolation, Random Forest).The data was hosted on Kaggle.
Object Recognition Module for Mad Hunt - A VR Mobile Game : [ Deep Learning, Python]
Computer’s camera enable of detecting objects by using YOLO algorithm.
Hospital Management Database System : [MySQL, Php]
A complete Hospital Management System with all the features.
Network Emulator : [C++,Data Structures]
A router server simulation using major concepts of Object Oriented Programming
Work Experience
Machine Learning  Intern  at  Tara Technologies, Lahor
June 2018 -  Aug 2018
Skills & Tools
Professional Skills Leadership, Interpersonal Skills, Communication Skills, Adaptable, Creative, Time Management.
Technical Skills
Python, Swift5, Xcode11, Pandas, Tensor Flow, Keras, SQL, Java, HTML, Socket programming,
Android Studio, UML, Nltk, BeautifulSoup, Image Processing, MS Office, Mac OS Catalina, Ubuntu,
R-Language, Genetic Algorithms, Neural Networks, Decision Trees, YOLO, CNN, Beysian Classifier,
KNN Classifier, Gradient Descent, RNN-LSTM, Seq2Seq Models, C++ , Agile and Scrum
Achievements
Won “Intra-fast Data Science Competition”
Won “NASCON Certificate Of Honour” award for successful managerial head role for national level event.
Trainings / Certification
Attended a seminar on ‘Virtualization and Data Science’ by CEO Of Mobilink-Jazz and other professionals.
Achieved Certification of attending a ‘Machine Learning BootCamp’.
Activities
Head for ‘Security’ in NaSCOn’19. Member ‘Management Affairs’ of Fast Debating Society (2018-2019)
Interests
Playing Strategy games , Reading motivational books , Public Dealing , Hangouts, IoT

AI enrichment

Muhammad Shahzeb Ali holds a BS in Computer Science with a focus on Data Science and has completed an internship in Machine Learning. His background includes academic projects involving NLP, deep learning, and mobile development, supported by relevant certifications and competition achievements.
Skills (AI)
["Python", "Machine Learning", "Deep Learning", "Natural Language Processing", "TensorFlow", "Keras", "SQL", "Java", "Swift", "C++", "Android Development", "Data Visualization", "YOLO", "CNN", "RNN-LSTM", "Agile and Scrum"]
Status: ai_done
Provenance
Source file: page_121.pdf
Created: 1777056958