AI & Data Science Enthusiast | Skilled in Python & Machine Learning | Aspiring Data Scientist

• I specialize in turning raw data into actionable insights and building machine learning models that solve real-world problems.
• I have hands-on experience in Python, data analysis. I am dedicated about applying my skills to real-world problems, learning new technologies, and creating innovative solutions in AI and Data Science.

Career Goal: Seeking internship/full-time roles in Data Science & Machine Learning to contribute in impactful projects.

Currently Learning:

• Advanced data analysis & visualization
• Optimizing machine learning models
• Feature engineering & model evaluation
• End-to-end ML deployment workflows

• ML project to predict movie success using TMDB dataset.
• Linear Regression, Random Forest, NLP (TF-IDF) and KMeans clustering.
• Streamlit web app for real-time predictions.
• 🔗 movie-blockbuster-prediction

• Predict laptop prices using specs like RAM, Processor, Storage, GPU, OS.
• Linear Regression, Random Forest, Gradient Boosting, XGBoost.
• Interactive Streamlit web app.
• 🔗 laptop-price-predictor

• Classify messages as Spam or Not Spam using ML & TF-IDF.
• Models: Naive Bayes, Logistic Regression, SVM, Random Forest, XGBoost.
• Streamlit app for real-time spam detection.
• 🔗 email/sms-spam-classification

• Predict sentiment of movie reviews (Positive/Negative) using ML & TF-IDF.
• Logistic Regression, Naive Bayes, SVM, Random Forest.
• Streamlit app for real-time predictions.
• 🔗 movie-review-sentiment-analysis

• Bachelors in Computer Science – Shah Abdul Latif University (2020–2023)
• DIT (Diploma in IT) – SAKI Institute of Science & Technology, Sukkur (2020)

• Open-source AI/ML projects 🌐
• Problem-solving, Collaboration, Creativity, Time-management, Adaptability and Communication 💡

📫 Contact:

• 📞 +92-308-3484370
• ✉️ [email protected]
• 🔗 LinkedIn
• 🔗 GitHub