Ranjitha S.

Background

About Ranjitha S.

Data Scientist and Python Developer with over 4 years of experience building and deploying production-grade machine learning solutions across healthcare, finance, and compliance domains. I specialize in designing and tuning classification and anomaly detection models using XGBoost, LightGBM, and Isolation Forest. I have strong hands-on expertise in building scalable ETL pipelines with PySpark and Airflow, developing FastAPI and Flask microservices, and operationalizing models with robust MLOps practices including containerization (Docker), orchestration (Kubernetes/EKS), and monitoring with MLFlow. I’m also passionate about leveraging GenAI and Retrieval-Augmented Generation (RAG) pipelines using LangChain, Pinecone, and OpenAI to build secure, explainable AI workflows. I enjoy working cross-functionally with engineering, compliance, and business teams to deliver solutions that improve operational efficiency, ensure data integrity, and drive strategic outcomes.