S Zaiba — AI Researcher

An aspiring Data Scientist with a strong academic foundation in Mathematics and hands-on experience in applying Natural Language Processing (NLP), Machine Learning, and Generative AI to real-world problems. With a postgraduate degree from IIIT Bangalore and a passion for building intelligent systems, I’ve worked on impactful projects ranging from telecom churn prediction to a Retrieval-Augmented Generation (RAG) solution for insurance document search. My technical expertise spans Python, SQL, Power BI, Tableau, Scikit-learn, and Transformer-based models. I’ve built scalable AI solutions like a RAG-based search system using LlamaIndex and OpenAI’s LLMs, which achieved over 90% accuracy in retrieving answers from complex policy documents. I’ve also developed predictive models using Logistic Regression, XGBoost, and Random Forests, effectively addressing class imbalance challenges in customer churn data. What drives me is the opportunity to use AI to simplify complex problems and create meaningful impact. I'm especially passionate about applying NLP to automate workflows, enhance user experience, and drive smarter decision-making. My goal is to join an innovative team where I can continue learning, collaborate cross-functionally, and contribute to building ethical, intelligent AI solutions that scale.

Stackforce AI infers this person is a Data Science professional with a focus on AI and NLP applications.

Location: Bengaluru, Karnataka, India

Experience: 0 mo