A dedicated Python Developer and Data Scientist with a strong foundation in programming, machine learning, and data analysis. I specialize in leveraging cutting-edge tools and frameworks to deliver innovative solutions that make an impact.
- Developed 𝐂𝐍𝐍𝐬 and implemented transfer learning on different architecture like Resnet50 and VGG16.
- Handled imbalanced datasets by 𝐝𝐚𝐭𝐚 𝐚𝐮𝐠𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 and class weight technique.
- Developed a real-time emotion detection system for both images and live video streams using OpenCV.
- Created an intuitive frontend with HTML, CSS, and JavaScript, and deployed the application on Docker for scalable use.
- Built an NLP-based model to evaluate semantic similarity between question pairs using tokenization, stemming, and other advanced preprocessing techniques.
- Delivered a Streamlit-powered user interface, ensuring ease of use and scalability, with deployment via Docker.
- Developed an AI-driven system for real estate price prediction, optimizing property profits with machine learning models.
- Integrated a user-centric interface using FastAPI and Streamlit, offering streamlined workflows for users.
- Applied data preprocessing, feature engineering, and visualization to enhance model performance and insights.
- Built a comprehensive solution for insurance claims prediction by conducting data preprocessing, exploratory data analysis, and model optimization.
- Created an interactive Streamlit app for real-time claim predictions with actionable insights through data visualization using Matplotlib and Seaborn.
- Deployed the application on Streamlit Community Cloud, ensuring seamless access and scalability.signed an accessible interface using Streamlit and deployed the project via Docker Hub.
- BS Data Science:
- Punjab University College of Information and Technology, Lahore
- 7th Semester (Current)
