MUHAMMAD HASSAAN

Computer Science Student | Machine Learning & AI Specialist

Lahore, PK.

About

Highly motivated Computer Science student with 6 semesters completed, specializing in Machine Learning and Deep Learning. Proven ability to deliver real-world AI projects, demonstrated through successful completion of DeepLearning.AI and Coursera certifications. Eager to leverage strong analytical skills and a passion for innovation to contribute effectively to data-driven initiatives at Devsinc DevCamp 2025.

Education

Khwaja Fareed UEIT

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Bachelor of Science Computer Science Grade: 3.26/4.0

Courses

Machine Learning

Deep Learning

Data Structures and Algorithms

Database Management Systems

Artificial Intelligence

Computer Vision

Natural Language Processing

Certificates

Machine Learning Specialization

Coursera (Andrew Ng)

Deep Learning Specialization

Coursera (Andrew Ng)

Tableau Data Visualization Certification

Tableau

Database Structures and Management with MySQL

Advance Data Analytics

Google (via Coursera)

Skills

Programming Languages

Python, SQL.

Machine Learning & AI

Supervised Learning, Unsupervised Learning, Neural Networks, Model Tuning, Natural Language Processing (NLP), Computer Vision, Large Language Models (LLMs), Prompt Engineering, ML Pipeline.

Deep Learning Frameworks

TensorFlow, Keras, Scikit-learn, PyTorch.

Data Handling & Analysis

Pandas, NumPy, Data Cleaning, Feature Engineering.

Data Visualization

Tableau, Matplotlib, Seaborn.

Databases & Tools

MySQL, Jupyter Notebook, Google Colab, Git.

Projects

Deep Learning Specialization Labs

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Summary

Completed a series of hands-on assignments and mini-projects covering core deep learning concepts, neural networks, and optimization techniques.

Handwritten Digit Classifier

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Summary

Designed and implemented a deep learning model using TensorFlow and Keras to accurately classify handwritten digits.

Air Quality Index (AQI) Prediction & Analysis

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Summary

Developed a predictive model for Air Quality Index (AQI) levels, analyzing diverse pollutants to classify environmental conditions and provide insightful analysis.