Ayaan User

Currently undertaking a Data Science internship. Gaining practical experience in data analysis, machine learning, and statistical modeling.

Built a spam classifier using SMS dataset with Naive Bayes & Logistic Regression, applying text preprocessing (tokenization, cleaning) using NLTK and scikit-learn. Evaluated the model with accuracy and confusion matrix visualization.

Predicted restaurant ratings using Linear Regression & Decision Tree, evaluating with MSE and R². Classified restaurants by cuisine, applying preprocessing and evaluating with accuracy & precision. Built a content-based restaurant recommender using cuisine & price preferences.

Trained a Random Forest classifier with hyperparameter tuning and feature importance analysis. Built an SVM model with multiple kernels, evaluating using precision, recall, and AUC. Designed a feed-forward neural network in TensorFlow/Keras for MNIST digit classification.

Built a time series sales forecasting model using Prophet, analyzing trends and seasonality. Developed a stock price predictor with Keras, evaluated via predicted vs. actual plots. Created a customer support chatbot using TensorFlow and NLTK, integrated into a web interface.

Analyzed Google Play Store data for real-time insights on sentiment, ratings, and installs. Utilized pandas, matplotlib, seaborn, and Power BI for data cleaning, visualization, and dashboard creation. Managed code on GitHub and delivered a complete project report.

Completed a Bachelor of Computer Applications, focusing on various aspects of computer applications. The curriculum covered essential topics in the field, preparing for a career in technology.