Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an AI/ML Engineer who thrives on turning data into actionable insights. I integrate AI and machine learning into enterprise data analytics using Azure Data Factory, SQL, and Power BI to deliver AI-powered data quality monitoring, forecasting, and reporting solutions. I collaborate with cross-functional teams to translate business requirements into AI-enabled data models, governance, and interactive dashboards, all while prioritizing data security and regulatory compliance within Azure environments. I have hands-on experience across healthcare and financial services domains, delivering scalable data pipelines, anomaly detection, and NLP-driven analytics. I’m passionate about building reliable, governance-backed AI solutions that empower business users to make faster, smarter decisions and to communicate insights with clarity through self-serve dashboards and natural-language interfaces.…I am an AI/ML Engineer who thrives on turning data into actionable insights. I integrate AI and machine learning into enterprise data analytics using Azure Data Factory, SQL, and Power BI to deliver AI-powered data quality monitoring, forecasting, and reporting solutions. I collaborate with cross-functional teams to translate business requirements into AI-enabled data models, governance, and interactive dashboards, all while prioritizing data security and regulatory compliance within Azure environments. I have hands-on experience across healthcare and financial services domains, delivering scalable data pipelines, anomaly detection, and NLP-driven analytics. I’m passionate about building reliable, governance-backed AI solutions that empower business users to make faster, smarter decisions and to communicate insights with clarity through self-serve dashboards and natural-language interfaces.

Naveen Yetukoori

AI Engineer, Data Scientist, Developer, +2





I am an AI/ML Engineer who thrives on turning data into actionable insights. I integrate AI and machine learning into enterprise data analytics using Azure Data Factory, SQL, and Power BI to deliver AI-powered data quality monitoring, forecasting, and reporting solutions. I collaborate with cross-functional teams to translate business requirements into AI-enabled data models, governance, and interactive dashboards, all while prioritizing data security and regulatory compliance within Azure environments. I have hands-on experience across healthcare and financial services domains, delivering scalable data pipelines, anomaly detection, and NLP-driven analytics. I’m passionate about building reliable, governance-backed AI solutions that empower business users to make faster, smarter decisions and to communicate insights with clarity through self-serve dashboards and natural-language interfaces.…I am an AI/ML Engineer who thrives on turning data into actionable insights. I integrate AI and machine learning into enterprise data analytics using Azure Data Factory, SQL, and Power BI to deliver AI-powered data quality monitoring, forecasting, and reporting solutions. I collaborate with cross-functional teams to translate business requirements into AI-enabled data models, governance, and interactive dashboards, all while prioritizing data security and regulatory compliance within Azure environments. I have hands-on experience across healthcare and financial services domains, delivering scalable data pipelines, anomaly detection, and NLP-driven analytics. I’m passionate about building reliable, governance-backed AI solutions that empower business users to make faster, smarter decisions and to communicate insights with clarity through self-serve dashboards and natural-language interfaces.

Available to hire

I am an AI/ML Engineer who thrives on turning data into actionable insights. I integrate AI and machine learning into enterprise data analytics using Azure Data Factory, SQL, and Power BI to deliver AI-powered data quality monitoring, forecasting, and reporting solutions. I collaborate with cross-functional teams to translate business requirements into AI-enabled data models, governance, and interactive dashboards, all while prioritizing data security and regulatory compliance within Azure environments.

I have hands-on experience across healthcare and financial services domains, delivering scalable data pipelines, anomaly detection, and NLP-driven analytics. I’m passionate about building reliable, governance-backed AI solutions that empower business users to make faster, smarter decisions and to communicate insights with clarity through self-serve dashboards and natural-language interfaces.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior AI/ML Engineer at Humana

May 1, 2025 - Present

Led AI-enabled data ingestion, quality monitoring, and forecasting pipelines for healthcare analytics. Built end-to-end ETL pipelines with Azure Data Factory, developed ML-based data quality monitoring, and integrated Azure OpenAI with Power BI to auto-generate executive summaries. Trained ML forecasting models to predict claim volume and member trends; implemented AI-assisted root-cause analysis and anomaly detection to pre-empt data issues; automated PHI identification and metadata classification for governance and compliance; enabled conversational analytics via Copilot and Azure OpenAI; built AI-powered ETL monitoring to detect anomalies and predict pipeline failures; delivered AI-enhanced KPI dashboards for risk and liquidity; achieved high accuracy in anomaly detection on large datasets.

AI/ML Engineer at Kaiser Permanente

March 1, 2024 - April 1, 2025

Built ML models to flag high readmission and ER utilization risk; developed forecasting models for patient inflow, appointment demand, and bed occupancy; implemented anomaly detection to ensure data integrity before reporting. Integrated Azure OpenAI to auto-generate summaries from Power BI dashboards and built NLP models to analyze patient feedback for service improvements. Deployed GenAI analytics assistant for natural-language data queries; optimized SQL queries for data validation and reporting; maintained Agile artifact traceability and requirement matrices; analyzed workflows to improve operational efficiency; built Tableau and Power BI dashboards to visualize model outputs and KPIs; ensured HIPAA-compliant data governance.

AI/ML Engineer at Regions Bank

March 1, 2023 - December 1, 2023

Built an AI-powered banking analytics platform to detect fraudulent transactions, forecast customer behavior, and assess financial risk. Developed scalable data pipelines using Azure Data Factory, Databricks, PySpark, and SQL; integrated ML predictions into Power BI dashboards for risk scoring and churn analysis; collaborated with Data Governance to ensure data lineage and compliance; performed feature engineering, data preprocessing, and model evaluation; deployed model monitoring and retraining strategies; delivered ad-hoc AI-driven insights to Retail Banking, Fraud, Risk, and Compliance.

AI/ML Engineer at Auburn University at Montgomery

August 1, 2022 - February 1, 2023

Co-developed AI-enabled analytics solutions for academic and operational projects. Analyzed large datasets with SQL and Python, built interactive dashboards to visualize KPIs and model outputs, and implemented data preprocessing to improve data quality. Conducted EDA to identify patterns, ensured data governance with role-based access controls, and documented data workflows to support reproducibility and collaboration.

JUNIOR AI/ML Engineer at KXN Technologies

January 1, 2021 - June 1, 2022

Built an AI-enabled analytics platform to transform raw data into ML-ready datasets and predictive insights. Performed exploratory data analysis, data preparation, and feature engineering using Python and SQL; developed automated preprocessing workflows with Databricks and real-time data ingestion via Kafka; created interactive dashboards (Tableau/Power BI) to communicate predictive insights; collaborated in Agile sprints to deliver AI-enabled reporting solutions and support UAT validation.