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I am Tejaswi Reddy, a Senior Data Scientist with over 9 years of experience delivering AI and ML solutions across insurance, banking, and retail. I design and productionize end-to-end ML systems—from data pipelines and model development to deployment, monitoring, and governance—using Python, TensorFlow, PyTorch, and Scikit-learn. I enjoy turning complex business needs into scalable models and practical dashboards, collaborating with stakeholders to improve retention, risk management, and customer experience. My work spans AI, NLP, time-series forecasting, and anomaly detection, with a focus on reliability, security, and explainability in multi-cloud environments.…I am Tejaswi Reddy, a Senior Data Scientist with over 9 years of experience delivering AI and ML solutions across insurance, banking, and retail. I design and productionize end-to-end ML systems—from data pipelines and model development to deployment, monitoring, and governance—using Python, TensorFlow, PyTorch, and Scikit-learn. I enjoy turning complex business needs into scalable models and practical dashboards, collaborating with stakeholders to improve retention, risk management, and customer experience. My work spans AI, NLP, time-series forecasting, and anomaly detection, with a focus on reliability, security, and explainability in multi-cloud environments.

Tejaswi Reddy

Data Scientist, AI Engineer, AI Developer, +2

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I am Tejaswi Reddy, a Senior Data Scientist with over 9 years of experience delivering AI and ML solutions across insurance, banking, and retail. I design and productionize end-to-end ML systems—from data pipelines and model development to deployment, monitoring, and governance—using Python, TensorFlow, PyTorch, and Scikit-learn. I enjoy turning complex business needs into scalable models and practical dashboards, collaborating with stakeholders to improve retention, risk management, and customer experience. My work spans AI, NLP, time-series forecasting, and anomaly detection, with a focus on reliability, security, and explainability in multi-cloud environments.…I am Tejaswi Reddy, a Senior Data Scientist with over 9 years of experience delivering AI and ML solutions across insurance, banking, and retail. I design and productionize end-to-end ML systems—from data pipelines and model development to deployment, monitoring, and governance—using Python, TensorFlow, PyTorch, and Scikit-learn. I enjoy turning complex business needs into scalable models and practical dashboards, collaborating with stakeholders to improve retention, risk management, and customer experience. My work spans AI, NLP, time-series forecasting, and anomaly detection, with a focus on reliability, security, and explainability in multi-cloud environments.

Available to hire

I am Tejaswi Reddy, a Senior Data Scientist with over 9 years of experience delivering AI and ML solutions across insurance, banking, and retail. I design and productionize end-to-end ML systems—from data pipelines and model development to deployment, monitoring, and governance—using Python, TensorFlow, PyTorch, and Scikit-learn.

I enjoy turning complex business needs into scalable models and practical dashboards, collaborating with stakeholders to improve retention, risk management, and customer experience. My work spans AI, NLP, time-series forecasting, and anomaly detection, with a focus on reliability, security, and explainability in multi-cloud environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Scientist at Zurich Insurance

February 1, 2024 - Present

Designed claim automation frameworks using Google Cloud NLP API, Vertex AI, and TensorFlow to streamline complex insurance claims. Built lapse prediction and policy knowledge assistants using BigQuery ML, Hugging Face Transformers, and Vertex AI. Implemented real-time fraud detection pipelines with Apache Beam, Dataflow, and Pub/Sub; automated underwriting workflows; catastrophe forecasting; deployed explainable AI via SHAP/LIME; enhanced customer support with GPT-4 powered chatbots; developed graph-based fraud detection models with Neo4j; implemented claim recommendation engines; led distributed ML training with Docker, Kubernetes, and GKE; established data quality checks with Great Expectations; created summarization workflows for long policy documents; automated multilingual policy translations; implemented model monitoring and retraining pipelines; built dashboards for insurance business insights.

Data Scientist at U.S. Bank

January 31, 2024 - October 13, 2025

Designed AML transaction monitoring models using Amazon Bedrock, TensorFlow, and AWS Glue to detect high-risk activities. Built fraud detection pipelines with AWS SageMaker, EMR, and Hugging Face Transformers; automated KYC/document classification with AWS Comprehend and SageMaker; developed credit default risk models using XGBoost and Scikit-learn; built transaction graph anomaly detection using Neo4j and Redshift; deployed conversational AI chatbots using GPT-4, Hugging Face Transformers, and AWS Lambda; executed distributed ML training with Docker, Kubernetes, and AWS ECS; established governance using IAM, SageMaker Model Monitor, and CloudWatch; designed quality validation pipelines with Great Expectations and Terraform; migrated legacy fraud models to SageMaker; built personalized financial advisory services and fraud clustering; deployed ML microservices and entity extraction pipelines with Hugging Face Transformers and SageMaker; created regulatory reports and audit-ready dashbo

ML Analyst at James Avery

August 31, 2021 - October 13, 2025

Built product recommendations using PyTorch and SageMaker; implemented real-time sales forecasting with TensorFlow and Kinesis to optimize retail inventory; developed sentiment analysis workflows with AWS Comprehend and NLTK; created catalog search assistants using GPT-3 and OpenSearch; optimized demand forecasting with PyTorch and XGBoost; automated review summarization; deployed fraud detection workflows; targeted promotions using AWS Comprehend and GPT models; seasonal demand forecasting; merchandising dashboards; multi-cloud deployment with Docker, Kubernetes, and AWS ECS; improved logistics and supply chain analytics; customer segmentation with Scikit-learn; evaluation and optimization of models.

Data Analyst at iGATE Global Solutions Limited

December 31, 2019 - October 13, 2025

Built document classification pipelines using Python, TensorFlow, and Azure Cognitive Services; implemented entity extraction with Azure Databricks, SpaCy, and Stanford NLP; developed churn prediction models using Azure ML Studio and Scikit-learn; automated enterprise image classification with TensorFlow, Docker, and Azure Functions; designed real-time data streaming pipelines with Azure Stream Analytics and Databricks; created recommendation systems with PyTorch, TensorFlow, and Azure Synapse; implemented abstractive summarization with Hugging Face Transformers; built temporal forecasting with ARIMA, XGBoost, and Azure ML Studio; containerized ML deployments with Kubernetes, Docker, and Azure AKS; built interactive Power BI dashboards; optimized ML pipelines with Azure Functions and Kubernetes; implemented sentiment analytics using Azure Cognitive Services; created entity resolution frameworks; predictive maintenance analytics; built ML experimentation frameworks; automated policy aut

NLP Engineer at Optimum Info System Pvt Ltd

August 31, 2017 - October 13, 2025

Built financial dashboards using Power BI; implemented NLP workflows with Stanford CoreNLP, Python, and R; developed predictive statistical models with R, Python; executed indexing with Apache Solr, Lucene; created preprocessing pipelines; automated business reporting tasks; built forecasting pipelines; designed data visualization dashboards; developed classification systems with CoreNLP, Solr, and Python; entity recognition; financial trend dashboards; correlation analysis workflows; built enterprise predictive analytics workflows.