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Vijaykumar Nakkala

@vijaykumarnakkala

Message

Senior Data Scientist specializing in ML, Generative AI, MLOps, and healthcare analytics.

United States

Message

What I'm looking for

I seek roles building production ML/LLM systems in cloud-native environments, with strong data-quality focus, governance, and collaboration in regulated industries.

I am a Senior Data Scientist with 11+ years building production-ready AI/ML solutions across personalization, predictive analytics, recommendation systems, Generative AI, and MLOps. I deliver scalable cloud-native pipelines, stabilize high-volume ETL feeds, and translate complex data into actionable insights that improve operations and customer experiences.

My experience spans healthcare quality analytics, fraud detection, and regulated environments where I deploy auditable, governed ML solutions using AWS, Azure, GCP, Spark, and modern LLM toolchains. I excel at cross-functional collaboration, dashboarding for executives, and deploying reliable ML/LLM production systems with strong attention to data quality and compliance.

Experience

Work history, roles, and key accomplishments

Current

AI/ML Engineer

Current

South Carolina Department Of Employment And Workforce

Jun 2023 - Present (2 years 8 months)

Built personalization and LLM-driven recommendation pipelines and deployed MLOps workflows on AWS to automate model training, deployment, and monitoring, improving operational analytics and document retrieval performance for regulated workflows.

Python AWS Sagemaker LLM Snowflake Power BI ETL Vector Search MLOps

Data Scientist & AI

Omnicell

Dec 2021 - May 2023 (1 year 5 months)

Designed and deployed ML and LLM pipelines on AWS SageMaker and Bedrock, implemented MLOps for model governance and drift detection, and delivered containerized inference services that reduced anomaly detection risk and supported compliance requirements.

AWS Sagemaker Bedrock Docker Kubernetes MLFlow Python NLP Anomaly Detection Optuna

Data Scientist

Bank of America

Feb 2020 - Nov 2021 (1 year 9 months)

Developed SQL-based analytics, predictive scoring models, and anomaly detection frameworks for fraud and compliance monitoring, automating validation and reporting to accelerate fraud trend analysis and decision-making.

SQL Oracle Teradata Redshift Python Power BI Tableau Anomaly Detection ETL

Data Analyst

Novartis

Sep 2018 - Jan 2020 (1 year 4 months)

Built Azure Databricks and Data Factory pipelines, optimized PySpark workflows and implemented Delta Lake strategies to deliver reproducible, machine-learning-ready datasets and real-time enrichment for analytics and modeling.

Databricks Azure Data Factory Pyspark Delta Lake Snowflake Kafka Python Synapse

Data Engineer

Hartford Insurance

Jun 2016 - Aug 2018 (2 years 2 months)

Developed ETL and reporting solutions, automated Tableau report generation, and implemented data validation and hygiene processes across healthcare datasets to support analytics, proposals, and product initiatives.

SQL Tableau SAS Python ETL Data Validation Healthcare Analytics Hive

Python Developer

Credit Suisse

Feb 2014 - May 2016 (2 years 3 months)

Automated ETL workflows with Python, built RESTful Flask services and web-scraping utilities, and optimized SQL queries and stored procedures to support data extraction and reporting for client-facing dashboards.