Danish Khan

Results-driven individual with strong foundation in data science, machine learning, and software development, leveraging Python, SQL, and AI models to deliver impactful solutions. Familiar in image segmentation, predictive modeling, and statistical analysis with exposure in EDA, visualization, and deep learning frameworks (TensorFlow, PyTorch). Ability to automate data-driven processes, enhance decision-making, and develop scalable AI solutions. Adept at mentoring, cross-functional collaboration, and problem-solving, with hands-on experience in educational data masking by detecting PII using NLP, road quality assessment.

• Supervised Machine Learning: Regression and Classification, Stanford Online
• Self-Driving Cars Specialization, University of Toronto
• Data Analyst Bootcamp from Basic to Advanced, Udemy
• Introduction to Graph Theory, Coursera
• Introduction to Self-Driving Cars, University of Toronto
• Teach Like a Friend, IIIT, Delhi

• PII Detection Dataset | Jan 2024 - Apr 2024
• Problem: Sensitive personally identifiable information (PII) in student writing increases the cost of releasing educational datasets.
• Solution: Developed an AI model to detect and remove PII from educational data, automating compliance.
• Impact: Reduces data anonymization costs, enabling wider and safer use of educational datasets.