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Islamabad
Muhammad Zaheer

Muhammad Zaheer

Computer Science Graduate | Python Developer | ML

Technology / Internet

Islamabad

Social

Services offered

I'm a recently graduated Computer Science student from Islamabad, with a deep interest in Python development, AI and Machine Learning. My final year project was focused on “Personality and Emotion Analysis from Text”, where i built a lightweight ML model using classical algorithms and NLP techniques.

Over the past year, I have also worked full-time in sales and marketing, which sharpened my communication and client-handling skills. Now, I'm looking for opportunities where I can apply my technical skills in real-world projects whether it's internships, freelance gigs, or full-time junior roles.

I'm quick learner, detail-oriented, and highly motivated to contribute to meaningful tech solutions. Currently improving my portfolio, exploring advanced AI coursework, and open to remote or on-site roles.

Machine learning
Marketing
Python developer
Data analysis
Sales
Approximate rate: PKR₨ 1,200 per hour

Experience

I have one year of full-time experience in Sales and Marketing, where I worked closely with clients, managed leads, and contributed to business development. Alongside, I took freelance and academic projects related to Python, Data Analysis, and Machine Learning, which helped me develop strong hands-on skills in building ML pipelines using classical algorithms, data preprocessing, and model evaluation.

I’m currently open to freelance and internship opportunities in AI, Machine Learning, Python development, and NLP-based projects, with a focus on real-world problem solving and continuous learning.

Education

Bachelor’s in Computer Science from Federal Urdu University of Arts, Science & Technology, Islamabad (2019–2025).
My final year project focused on Personality and Emotion Analysis from Text, where I implemented natural language processing and machine learning techniques to analyze and classify emotions and sentiments using lightweight classical models.

This project strengthened my skills in Python, NLP, feature engineering (TF-IDF, SMOTE), and tools like Google Colab, Scikit-learn, Pandas, and Streamlit.

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