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
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
Data Analytics Engineer
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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