A dedicatedPython Developer andData 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.

• Built adata-driven platform to query, filter, and summarize startup data from over6,000 companies listed on Y Combinator.
• Scraped and processed data usingScrapy, organizing it into aSQLite database for efficient querying.
• IntegratedSQL Agent to enable natural language queries, providing advanced search and insights capabilities.
• Designed a user-friendly frontend usingStreamlit for seamless interaction, powered by aFastAPI backend for scalable data operations.

• DevelopedCNNs and implemented transfer learning on different architecture likeResnet50 andVGG16.
• Handled imbalanced datasets bydata augmentation andclass weight technique.
• Developed a real-time emotion detection system for both images and live video streams usingOpenCV.
• Created an intuitive frontend withHTML, CSS, and JavaScript, and deployed the application onDocker for scalable use.

• Built an NLP-based model to evaluate semantic similarity between question pairs usingtokenization, stemming, and other advanced preprocessing techniques.
• Delivered aStreamlit-powered user interface, ensuring ease of use and scalability, with deployment viaDocker.

• Developed a deep learning model using aCNN ,Enabled real-time recognition of sign language gestures, bridging communication gaps for individuals who use sign language.
• Built a backend usingFlask and a responsive frontend usingHTML,CSS,JavaScript, andBootstrap for real-time gesture recognition.

• Developed an AI-driven system forreal estate price prediction, optimizing property profits with machine learning models.
• Applied data preprocessing, feature engineering, and visualization to enhance model performance and insights.
• Integrated a user-centric interface usingFastAPI andStreamlit, offering streamlined workflows for users.

• Built a comprehensive solution forinsurance claims prediction by conducting data preprocessing, exploratory data analysis, and model optimization.
• Deployed the application onStreamlit Community Cloud, ensuring seamless access and scalability.signed an accessible interface usingStreamlit and deployed the project viaDocker Hub.

• BS Data Science:
• Punjab University College of Information and Technology, Lahore

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