Komal Khatri

I am an AI/ML enthusiast with hands-on experience in Python, machine learning, and computer vision through internships and real-world projects. I have built and deployed models with strong performance metrics, along with developing interactive applications using Streamlit. I am eager to apply my skills to solve real-world problems and contribute to impactful AI-driven solutions.

Machine Learning Intern at Dream Team Technology (2025-05 – 2025-08)

Built and deployed ML models, automated data preprocessing pipelines, and produced business-ready performance reports.

• Built and deployed 5+ supervised/unsupervised ML models using scikit-learn and Pandas, improving baseline accuracy by 12%.
• Automated data preprocessing pipelines (feature scaling, encoding, imputation), reducing data preparation time by 40%.
• Evaluated models using accuracy, precision, recall, and F1-score; produced business-ready performance reports for stakeholders.

Data Science Intern at Celebal Technologies (2025-06 – 2025-07)

Performed EDA, feature engineering, trained and optimized classification models, and delivered predictive analytics insights.

• Performed EDA and feature engineering on 3 structured datasets using Pandas and NumPy, identifying key predictors for classification tasks.
• Trained and optimized Scikit-learn classification models, achieving F1-scores above 0.88 across multiple prediction tasks.
• Delivered predictive analytics insights to the team through structured reports, supporting data-driven product decisions.

B.Tech in Computer Science & Engineering (AI & ML) – Jodhpur Institute of Engineering & Technology (2022 – 2026)