Portfolio

Built a natural language processing (NLP) model to analyze customer sentiment from product reviews. Used techniques like TF-IDF and Naive Bayes classifier with Python. Enabled businesses to quickly gauge customer satisfaction levels.

Implemented a user-friendly contact form using Wix Forms on the personal portfolio. Enables seamless communication for recruiters and potential collaborators to reach out with inquiries or opportunities. Includes essential fields for effective outreach.

Created a convolutional neural network (CNN) to classify medical images, aiding in early disease detection. Employed TensorFlow and Keras for building and training the deep learning model. Demonstrated high precision in distinguishing between healthy and affected images.

Designed and developed a personal portfolio website using Wix Portfolio. Showcases technical skills, education, and machine learning projects to attract internship and job opportunities. Features a clean, modern design with easy navigation.

Integrated a functional resume download button on the personal portfolio website. Allows potential employers to easily access and save the candidate's detailed resume for review. Ensures accessibility of professional qualifications.

Developed a machine learning model to predict customer churn for a telecom company. Utilized Python libraries like Pandas and Scikit-learn for data preprocessing and model training. Achieved X% accuracy in identifying at-risk customers.