Rushmitha Parvathaneni

Background

About Rushmitha Parvathaneni

Data Analyst with over 4 years of experience in designing and deploying scalable data pipelines, optimizing cloud-based data ecosystems, and implementing AI-driven solutions using Python, NLP, and Large Language Models (LLMs) with frameworks like LangGraph and LangChain. • Expert in automating complex ETL workflows using AWS services (Glue, Lambda, Redshift, S3) and Azure platforms, achieving up to 70% reduction in manual processing time while ensuring data integrity and reliability for enterprise-grade analytics. • Proficient in evaluating and fine-tuning LLMs for tasks such as text classification, ticket routing, and response generation, leveraging RAG architectures and vector search to enhance model accuracy by 25% and reduce hallucination rates to under 3%. • Certified AWS Data Engineer with hands-on expertise in building robust data lakes, orchestrating data workflows, and integrating cloud-native tools like Snowflake, Azure Databricks, and AWS SageMaker for high-performance analytics and model deployment. • Skilled in developing real-time dashboards using Tableau, QuickSight, and React, enabling stakeholders to derive actionable insights from complex datasets, improving operational efficiency by up to 30%. • Experienced in MLOps practices, utilizing CI/CD pipelines, Docker, and Kubernetes to deploy production-ready AI models, ensuring seamless integration with business applications and scalable performance. • Strong collaborator in Agile environments, leading cross-functional teams to align technical solutions with business objectives, driving data-driven decision-making and measurable outcomes like cost reductions and enhanced customer engagement. • Passionate about leveraging advanced analytics, statistical modeling, and Generative AI to solve complex business challenges, delivering innovative solutions across logistics, healthcare, and telecommunications domains.