Sania Anjum

I've built machine learning projects including breast cancer prediction, customer segmentation, movie recommendations, and calories-burnt prediction using logistic regression, K-Means, cosine similarity, and XGBoost.

I work with Python, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch, and I’ve explored deep learning architectures including ANN, CNN, RNN, LSTM, and GRU. I also develop NLP workflows covering preprocessing, tokenization, embeddings, sequence modeling, text classification, Transformers, LangChain, RAG concepts, and vector databases.

I bring prior teaching experience as a Computer Science Teacher and Assistant Professor, along with hands-on ML application deployment using FastAPI and Streamlit.