Sarmista Thalapaneni

Data Analytics Engineer @ State Farm | Master’s in Management Information Systems

Role
Data Analytics Engineer at State Farm
Location
Oswego, IL, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Sarmista Thalapaneni

I have a Masters in Management Information Systems from NIU, where I was recognized as an Outstanding MIS Student for my academic performance and research projects. I have a strong background in data engineering,data analysis, business intelligence, and process improvement, which I developed through my previous roles. I am passionate about learning new technologies and applying them to solve real-world problems. My goal is to live a life above ordinary and to work hard to fulfill my dreams.

Experience

  1. Data Analytics Engineer

    State Farm

    Jan 2025 — Present

    Architected and productionized an Amazon SageMaker Ground Truth data-labeling pipeline, establishing a reusable enterprise template adopted across multiple Data & AI teams at State Farm for scalable ML dataset creation- Presented Ground Truth pipeline architecture to the enterprise Data & AI organization, defining best practices for annotation workflows, reviewer validation, and labeling quality control- Designed standardized annotation task schemas, reviewer workflows, and JSON output formats enabling integration with downstream machine learning training and analytics pipelines- Managed SageMaker Ground Truth workspace access and permissions for 8+ stakeholders across data engineering, ML engineering, and data science teams- Built Terraform infrastructure-as-code modules to automate metadata processor deployments and improve governance across enterprise data environments-Developed ETL pipelines integrating claims, policy, and operational datasets across Amazon Redshift, Athena, and Starburst platforms- Validated DAE Book of Knowledge datasets in Athena, documenting accessibility and identifying governance gaps across enterprise data assets- Performed claims data analytics and cross-system comparisons between legacy and modernized claims platforms using 2025 YTD datasetsTechnologies: AWS SageMaker, Ground Truth, Athena, Redshift, Starburst, Terraform, Python, JSON, ETL, ML Data Labeling

Education

  • Northern Illinois University

    Masters in management information

  • Velagapudi Ramakrishna Siddhartha Engineering College

    Bachelor of Technology, Electronics and communication

    2015 — 2019

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Sarmista Thalapaneni — Data Analytics Engineer at State Farm in Oswego, IL, US | Unifers