Pujit Koduru
@pujitkoduru
Senior Data Analyst leveraging SQL, AWS, ETL/ELT, and machine learning to deliver cost savings and fraud detection.
United StatesWhat I'm looking for
I’m a results-driven Senior Data Analyst with 6+ years of experience in data analysis, SQL analytics, ETL/ELT pipeline development, business intelligence, and machine learning. I build production data pipelines processing 10M+ records and deploy ML models at 85–92% accuracy.
I’ve architected AWS cloud data platforms serving 200+ users and delivered $5M+ in cost savings and $2M in fraud detection through advanced analytics, A/B testing, predictive modeling, and executive BI dashboards. I’m especially effective at turning complex healthcare and financial data into clear, decision-ready insights.
Across roles at Molina Healthcare, Robert Half, Cigna, and Mindlabz Technologies, I’ve focused on governed data platforms, strong data quality controls (schema monitoring, validation frameworks), and experiment-driven outcomes. I enjoy partnering with IT and cross-functional teams to streamline pipelines, improve reliability, and accelerate insight delivery.
Experience
Work history, roles, and key accomplishments
Optimized provider network analytics on 10M+ claims using SQL and Python, improving network efficiency by 15%. Built Power BI dashboards for 500+ providers and partnered to implement an AWS data lake (S3/Glue), reducing processing time by 30% and enabling faster, governed access.
Developed and optimized ETL pipelines using Python, SQL, AWS, and enterprise HR/ERP systems, reducing manual processing effort by 60%. Automated recurring finance/payroll workflows and built Tableau/Power BI executive dashboards, contributing to ~$800K in departmental overspend reduction.
Engineered a Python ETL pipeline unifying 5 data sources across 10M+ claims with SQL validation at each stage, establishing a trusted single source of truth. Architected an AWS data lake (S3/Glue) cutting processing time by 30% and scaling governed self-service analytics to 50+ analysts.
Data Engineer & Analyst
Mindlabz Technologies
Jan 2019 - Dec 2021 (2 years 11 months)
Architected a 7TB HIPAA-compliant clinical data lake on AWS (S3/Glue) with Kinesis real-time streaming and RBAC for 200+ users. Built production predictive ML models (85% readmission accuracy; 92% imaging detection) and delivered self-service BI dashboards and training used by 200+ non-technical users.
Education
Degrees, certifications, and relevant coursework
Cleveland State University
Master of Science in Information Systems, Information Systems
2022 - 2023
Earned a Master of Science in Information Systems at Cleveland State University.
Sreenidhi Institute of Science and Technology
Bachelor of Technology in Mechanical Engineering, Mechanical Engineering
2016 - 2020
Earned a Bachelor of Technology in Mechanical Engineering from Sreenidhi Institute of Science and Technology.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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