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I am a Data Scientist and AI/ML Engineer with over 4 years of experience delivering scalable machine learning, deep learning, and GenAI solutions across software, insurance, and manufacturing domains. I specialize in Python, SQL, AWS services, and building end-to-end ML pipelines that enhance fraud detection, compliance, and operational efficiency. I enjoy leading Agile teams, mentoring fellow engineers, and integrating AI solutions into cloud infrastructure to achieve impactful business results. I am passionate about using AI/ML to solve complex problems and streamline processes in dynamic environments.…I am a Data Scientist and AI/ML Engineer with over 4 years of experience delivering scalable machine learning, deep learning, and GenAI solutions across software, insurance, and manufacturing domains. I specialize in Python, SQL, AWS services, and building end-to-end ML pipelines that enhance fraud detection, compliance, and operational efficiency. I enjoy leading Agile teams, mentoring fellow engineers, and integrating AI solutions into cloud infrastructure to achieve impactful business results. I am passionate about using AI/ML to solve complex problems and streamline processes in dynamic environments.

Tejaswini Narayana

Data Scientist, AI Engineer, AI Developer, +1

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I am a Data Scientist and AI/ML Engineer with over 4 years of experience delivering scalable machine learning, deep learning, and GenAI solutions across software, insurance, and manufacturing domains. I specialize in Python, SQL, AWS services, and building end-to-end ML pipelines that enhance fraud detection, compliance, and operational efficiency. I enjoy leading Agile teams, mentoring fellow engineers, and integrating AI solutions into cloud infrastructure to achieve impactful business results. I am passionate about using AI/ML to solve complex problems and streamline processes in dynamic environments.…I am a Data Scientist and AI/ML Engineer with over 4 years of experience delivering scalable machine learning, deep learning, and GenAI solutions across software, insurance, and manufacturing domains. I specialize in Python, SQL, AWS services, and building end-to-end ML pipelines that enhance fraud detection, compliance, and operational efficiency. I enjoy leading Agile teams, mentoring fellow engineers, and integrating AI solutions into cloud infrastructure to achieve impactful business results. I am passionate about using AI/ML to solve complex problems and streamline processes in dynamic environments.

Available to hire

I am a Data Scientist and AI/ML Engineer with over 4 years of experience delivering scalable machine learning, deep learning, and GenAI solutions across software, insurance, and manufacturing domains. I specialize in Python, SQL, AWS services, and building end-to-end ML pipelines that enhance fraud detection, compliance, and operational efficiency.

I enjoy leading Agile teams, mentoring fellow engineers, and integrating AI solutions into cloud infrastructure to achieve impactful business results. I am passionate about using AI/ML to solve complex problems and streamline processes in dynamic environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Scientist at State Farm, USA

January 1, 2025 - Present

Developed and deployed advanced machine learning models including Logistic Regression, Gradient Boosting, and CNNs to improve fraud detection, credit risk scoring, and customer churn prediction, increasing forecast accuracy and reducing processing times by 25%. Designed secure, scalable data pipelines with AWS Glue, Redshift, and S3 enabling real-time analytics for trades and transactions. Delivered dashboards and regulatory reports using Tableau and maintained SQL databases. Utilized AWS SageMaker, Bedrock, and Langchain Agents to build AI/ML solutions for compliance and customer engagement, integrating NLP-driven semantic search and summarization tools deployed via Docker on AWS and GCP Kubernetes. Integrated GenAI chatbots using Amazon Bedrock improving digital self-service by 20%, and engineered GenAI-powered document analysis achieving 99% accuracy for SEC/FED compliance. Architected document processing workflows to extract and contextualize insights from financial and legal docum

AI/ML Engineer at Veritas, India

August 31, 2023 - July 31, 2025

Led Agile software development delivering factory automation and predictive maintenance systems increasing efficiency and client satisfaction. Developed an XGBoost failure prediction model reducing unplanned downtime by 15%, and applied NLP to operator logs improving root-cause analysis by 20%. Built deep learning models including CNNs and RNNs for PCB defect detection and sensor monitoring, enhancing quality control by 30%. Collaborated on AI/ML integration into embedded and smart systems. Advocated TensorFlow for visual inspection models, deploying scalable ML pipelines on AWS enabling real-time decisions and edge device integration. Designed predictive diagnostics and intelligent scheduling ML modules on AWS and GCP with NLP semantic clustering inside Docker and Kubernetes environments. Mentored junior engineers on industrial AI, CI pipelines, cloud-native architectures, and scalable manufacturing applications.