Gowtham Resu

👋 Hey there! I'm Gowtham Sai Resu, a dedicated Senior Data Analyst with 5 years of hands-on experience, thriving at the intersection of data science, AI, and machine learning 🌟. With a foundation in Python, SQL, R, and SAS, I've tackled diverse projects across the finance, healthcare, and IT sectors. I specialize in advanced analytics, machine learning, and big data technologies, with deep expertise in Python, SQL, R, and SAS. My work spans the full data lifecycle—from large-scale data analysis and designing ETL/ELT pipelines to building scalable data solutions across cloud platforms including AWS, Azure, and GCP. I leverage services such as Amazon S3, AWS Glue, Redshift, Lambda, Azure Databricks, and BigQuery to deliver reliable, efficient, and high-performing data workflows.Also design, implement, and apply machine learning models including regression, classification, clustering, I currently work at Aetna (CVS Health), supporting Medicaid encounter management systems for Kentucky and Pennsylvania. I develop and maintain ETL/ELT processes, design and optimize complex SQL queries, and build data processing code to support large-scale healthcare data workflows. I lead system enhancements, resolve defects, and perform end-to-end testing to improve Medicaid reporting accuracy and reduce operational risk. At CGI Inc., while supporting the Cigna Healthcare client, I contributed to improving insurance claims processing and fraud detection initiatives. I designed and implemented ETL/ELT pipelines using AWS to streamline data workflows and led data migration from DB2 to AWS, ensuring efficient, accurate, and scalable claims processing I'm passionate about translating complex data into clear, actionable insights. Whether it’s creating visual reports using Tableau and Power BI or architecting robust ETL/ELT processes, my goal is to simplify data complexities for stakeholders 🌐. As a Georgia State University alum, I hold a Master's in Data Science & Analytics with a concentration in Big Data and Machine Learning (CGPA: 3.9/4.0). My academic background is complemented by my practical expertise in DBMS,Big Data technologies, Machine Learning Models and version control tools, making me a versatile professional adept at navigating various technical landscapes 🎓.