About
B.Tech graduate in Artificial Intelligence and Data Science with internship experience in Machine Learning and hands-on work in Python, SQL, data analysis, deep learning, and NLP. Built AI/ML projects using BERT, TensorFlow, Keras, Scikit-learn, Pandas, and NumPy.
Experience
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Machine Learning InternInfosys Springboard
Education
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B.TechArtificial Intelligence and Data Science · 2022 – 2026
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IntermediateMPC
Skills
Projects
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AI-Powered Smart Email Classifier for EnterpriseMachine Learning, BERT
Built an NLP-based email classification system achieving 91% accuracy. Trained models on 50,000+ enterprise emails and reduced email processing time from 5 minutes to under 10 seconds.
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Automated Food Image Classification SystemCNN
Developed a food image classification model achieving 92% accuracy on 10,000+ images and inference latency below 200 ms.
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EEG-Based Human Emotion Recognition SystemEEG, Machine Learning
Built an EEG-based emotion recognition system achieving 89% accuracy and processed 50,000+ EEG samples.
Courses & certifications
- Data Science · Infosys Springboard
- Artificial Intelligence · Simplilearn