Muhammad Hamza waseem
Sargodha, Pakistan
Muhammad Hamza waseem
“Machine Learning & Deep Learning Expert
Category : Artificial intelligence (AI)
I am a Data Scientist and Machine Learning Engineer specializing in building intelligent solutions using Python, TensorFlow, PyTorch, and Scikit-Learn. I design, train, and deploy Artificial Neural Networks (ANNs) and Convolutional Neural Networks (CNNs) for tasks like prediction, classification, and image recognition.
Whether you need a data-driven model, an AI-powered app, or clear data visualization, I provide complete end-to-end solutions — from data cleaning to model deployment.
🔹 What I Offer:
Machine Learning models using Scikit-Learn, TensorFlow, and PyTorch
ANN and CNN-based Deep Learning models for structured and image data
Data preprocessing (cleaning, feature engineering, scaling, encoding)
Exploratory Data Analysis (EDA) with Pandas, Seaborn, and Matplotlib
Model evaluation & optimization (accuracy, confusion matrix, tuning)
Interactive AI dashboards & apps using Streamlit
End-to-end deployment-ready ML pipelines
🔹 Why Choose Me:
Strong foundation in Python, ML, and Deep Learning
Deliver well-documented, optimized, and easy-to-use models
Focus on practical, real-world results — not just code
Friendly communication and on-time delivery
Whether you need a data-driven model, an AI-powered app, or clear data visualization, I provide complete end-to-end solutions — from data cleaning to model deployment.
🔹 What I Offer:
Machine Learning models using Scikit-Learn, TensorFlow, and PyTorch
ANN and CNN-based Deep Learning models for structured and image data
Data preprocessing (cleaning, feature engineering, scaling, encoding)
Exploratory Data Analysis (EDA) with Pandas, Seaborn, and Matplotlib
Model evaluation & optimization (accuracy, confusion matrix, tuning)
Interactive AI dashboards & apps using Streamlit
End-to-end deployment-ready ML pipelines
🔹 Why Choose Me:
Strong foundation in Python, ML, and Deep Learning
Deliver well-documented, optimized, and easy-to-use models
Focus on practical, real-world results — not just code
Friendly communication and on-time delivery
Portfolio
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:08h00 To 18h00
- Sunday:Not available
I am currently pursuing a Bachelor’s in Software Engineering, having successfully completed the first two semesters with a CGPA of 3.35. Throughout my studies, I have gained strong programming skills in C++ and Python, along with practical experience in Machine Learning and Deep Learning. My coursework and projects have strengthened my problem-solving abilities, software development knowledge, and understanding of modern computational techniques.
I have successfully completed a Machine Learning and Deep Learning course, gaining hands-on experience in data analysis, model building, and deployment. My technical skills include Python, Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, Streamlit, Seaborn, and Matplotlib.
During the course, I worked with advanced features like Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), tensors, autograd, and other deep learning functionalities, building models that solve real-world problems efficiently. I am confident in implementing and customizing machine learning pipelines, performing data preprocessing, training models, and visualizing results for practical applications.
During the course, I worked with advanced features like Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), tensors, autograd, and other deep learning functionalities, building models that solve real-world problems efficiently. I am confident in implementing and customizing machine learning pipelines, performing data preprocessing, training models, and visualizing results for practical applications.
I completed my Intermediate in Computer Science (ICS) from Punjab College, securing 922 out of 1100 marks. This achievement reflects my strong understanding of core computer science concepts, logical thinking, and dedication to academic excellence.
I completed my Matriculation in Computer Science from Sanai School System, securing 992 out of 1100 marks. My strong academic performance reflects my dedication, logical thinking, and consistent hard work in both theory and practical subjects. This foundation in Computer Science has strengthened my interest in technology and motivated me to pursue further studies in the field.
- 🇬🇧 English
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