Undergraduate Student Intern
- Machine Learning Projects
Independent Projects | Jan 2022 – Present
Image Classification Project: Developed a computer vision model using TensorFlow to classify images with 90% accuracy.
Linear Regression Model: Implemented a linear regression model in Python with Scikit-learn to predict housing prices, achieving an R² score of 0.85.
Chatbot Development: Created a chatbot using AIML and Python to handle customer queries, improving response efficiency by 70%.
Natural Language Processing (NLP) Project: Analyzed sentiment of customer reviews using NLP techniques with Scikit-learn, achieving an accuracy of 88%.
Recommendation System: Built a recommendation system for a movie database using collaborative filtering in Scikit-learn, increasing user engagement by 60%.
Data Visualization Project: Visualized sales data using Python libraries like Matplotlib and Seaborn, providing insights for better decision-making.
Time Series Forecasting: Developed a time series forecasting model in Scikit-learn to predict stock prices, achieving a mean absolute error of 3%.