Passionate about applying AI to solve real-world problems. Experienced in Computer Vision, NLP, and Conversational AI with proven projects in healthcare, automotive, and academic research domains.
8+ Machine Learning projects across Computer Vision, NLP, and Data Science
Intelligent healthcare chatbot providing empathetic medical information with safety-first design and professional consultation interface.
NLP model classifying medical abstract sections using Universal Sentence Encoder and positional features. Streamlines literature review for researchers.
Deep learning classifier for 120 dog breeds using transfer learning. Demonstrates architecture comparison and optimization strategies.
Fine-tuned EfficientNetB0 for 196 car model classification on CARS196 dataset with 16,000+ images. Achieved 99% training and 78% validation accuracy.
Binary image classifier built with CNN achieving over 98% accuracy on 11,000+ test images. FreeCodeCamp certification project.
Predicted potential mental health issues from survey data. Handled data cleaning, EDA, and model selection for binary classification task.
ML model automating loan approval decisions using Random Forest Classifier. Achieved 90% accuracy for financial risk assessment.
Regression model predicting user listening duration using custom scraped podcast data. Built complete data pipeline from scraping to modeling.
Tools and technologies I work with
My journey in machine learning and AI
Completed 6-month industrial training gaining practical machine learning experience in healthcare setting. Worked on AI solutions in the Software Department, applying ML techniques to real-world medical challenges.
GPA: 4.3/5.0. Focus on Machine Learning, Artificial Intelligence, and Data Science. Active participant in ML projects and competitions.
I'm always open to discussing new opportunities and collaborations