Sai Prakash Ravilisetty

About Sai Prakash Ravilisetty

I am a passionate Data Scientist with extensive experience in developing machine learning models and deploying data-driven solutions that drive business outcomes. Currently at Charles Schwab, I spearheaded the development of a customer churn prediction model that reduced attrition by 25% and engineered an LLM-based agent to automate customer inquiries, improving response times by 40%.With a Master\'s in Information Technology and Management from the University of Texas at Dallas, I bring a strong foundation in machine learning, cloud platforms, and data engineering. My technical toolkit includes Python, PySpark, TensorFlow, Apache Spark, and Kafka, along with CI/CD pipelines built using Jenkins, Docker, and GitLab. My experience spans across building scalable machine learning workflows, deploying models in production, and optimizing data pipelines.I have a proven track record of delivering impactful solutions across industries, including finance, telecommunications, and e-commerce, where I applied deep learning, natural language processing, and anomaly detection techniques. I am passionate about leveraging AI to solve complex challenges and continuously improve business operations.I’m always eager to collaborate on innovative data science projects and explore how AI can reshape industries. Let’s connect!

Experience

1. Software Development Engineer

   Amazon

   Dec 2024 — Present · Seattle, WA, US

Education

• The University of Texas at Dallas

  Master of Science - MS, Information Technology and Management, Applied Machine Learning Specialization

• GITAM Deemed University

  Bachelor of Technology, Computer Science