Danish Tadvi

Data Scientist with an MSc in Data Science (University of Sussex) and published research in medical image classification. Builds and deploys machine learning and deep learning models — from data preprocessing through evaluation — across computer vision, predictive modelling and NLP. Experienced applying CNNs to real-time defect detection in a manufacturing setting, improving detection efficiency by 15%.

Comfortable working across the full pipeline in Python and SQL, and translating model outputs into decisions stakeholders can act on.

AI/ML Intern - Tata Motors - India

(2022-07 - 2022-12)

• Built and fine-tuned CNN-based image recognition models in Python and OpenCV for real-time object detection on the manufacturing line.
• Applied CNN-based image recognition to Engine Block Inspection and Sealant Dispensing, improving defect detection efficiency by 15%.
• Optimized feature extraction and model architecture to improve accuracy and processing speed for automated visual inspection.
• Worked with cross-functional engineering teams to integrate the AI-driven inspection system into the existing production workflow, strengthening overall quality control.

Software Engineer Intern - Seed Infotech - India

(2019-03 - 2019-07)

• Built responsive web applications using HTML, CSS and JavaScript, focused on cross-browser compatibility and performance.
• Collaborated with the development team to design and ship interactive features aligned with client requirements.

MSc - Data Science - University of Sussex (2023-09 - 2024-09)