Sai Srinivas Thota

Data Scientist @Charles Schwab

US

Developing AI/ML solutions for fraud detection, risk modelling, and credit scoring, improving predictive accuracy by 30%using Python, R, XGBoost, and TensorFlow.Designing MLOps pipelines with Kubeflow, MLflow, Docker, and Kubernetes, automating model training, validation, deployment, and monitoring, reducing manual intervention by 50%.Collaborating with cross-functional teams, including cloud engineers, software developers, and risk analysts, to deploy scalable AI-driven solutions in AWS (S3, Redshift, SageMaker, DynamoDB), Google BigQuery, and Azure Synapse.Developing real-time risk assessment models using LSTMs, BERT, and XGBoost, enhancing fraud detection rates by 40% while minimizing false positives.Automating big data pipelines with Apache Spark (PySpark, MLLib), Airflow, and SQL, reducing data processing latency by 60% and optimizing cost efficiency.Presenting data-driven insights and ML strategies to C-level executives and key stakeholders, influencingmulti-million-dollar investment decisions and driving business growth through AI innovations.

Cleveland State University

Master of Science - MS

SR Engineering College

Bachelor's degree