Thulasidass Pounraj

Led data transformation and migration projects, engineered machine learning models using PyTorch and TensorFlow, and implemented CI/CD pipelines for Flask applications. Championed serverless ML applications and conducted NLP analysis for underwriting predictions.

Designed and developed Python scripts for data transformation, led end-to-end ML projects using AWS SageMaker, and conducted data visualization with Tableau. Applied statistical techniques and built predictive models to enhance business decision-making.

Developed interactive dashboards using SAS Visual Analytics and PowerBI, built datasets in BigQuery, and conducted time-series analysis to optimize hospital resource allocation. Contributed to personalized medicine through genomic data analysis.

Enhanced information management methodologies at Tesla, built architecture roadmaps for AI solutions, and created business strategy dashboards using Tableau and PowerBI. Acted as a liaison between business stakeholders and IT teams.

Supported IT projects by gathering requirements, conducting SWOT analysis, and preparing detailed reports. Participated in UAT testing and managed database systems using MySQL for efficient data storage.

Provided insights for business improvements using analytical expertise, optimized stored procedures with T-SQL, and engaged in predictive modeling to support business growth.

Completed a Master of Science in Computational Statistics with a focus on Data Science, gaining expertise in statistical methods, data analysis, and computational techniques.

Earned a Master of Science in Statistics, focusing on statistical theory, methodologies, and applications in various fields.

Obtained a Bachelor of Science in Statistics, providing a solid foundation in statistical principles and data analysis techniques.