Gokul Nedunsezhian

WORK HISTORY

EDUCATION

ABOUT GOKUL NEDUNSEZHIAN

I’m a Data Engineer with a strong foundation in analytics, machine learning, and large-scale data systems, currently supporting Comcast as a client through Tata Elxsi. My work spans building scalable data pipelines using Python and PySpark, automating workflows, and supporting cloud-based analytics in production environments.Previously at Shrive Solutions, I worked as a Data Scientist driving healthcare analytics initiatives, including Medicaid cost forecasting, provider directory reconciliation using AI Gateway APIs, and building transformer-based models to improve temporal predictions.Before that, I served as a Data Engineering & Analytics Consultant at Agillitics, delivering retail and supply chain intelligence for clients like Foot Locker and Adidas. I implemented Terraform-backed Snowflake solutions on AWS, built advanced Power BI dashboards, and created CI/CD pipelines in Azure for seamless data orchestration.I hold a Master’s in Information Systems from Georgia State University, with a specialization in Big Data Management and Analytics. My graduate research focused on financial fraud detection using MongoDB, NLP, and supervised machine learning. I also bring experience from my time at Comcast India, where I built Java-based automation tools, CI/CD pipelines, and service monitoring integrations.Proficient in Python, SQL, PySpark, Java, and cloud platforms like AWS, Azure, and Databricks, I thrive on building data systems that solve real-world problems.