Vivek Patel

Led a team of 5 professionals to engineer a multi-class emotion classification model using TensorFlow's Sequential Model on an audio dataset with NLP concepts. Researched Generative AI, compiling over 100 insights on industry trends and advances. Contributed to project success through effective collaboration and innovative problem-solving.

Automated end-to-end ETL workflows using Python and AWS Glue; built dynamic BI dashboards in Power BI and Tableau; improved data quality and reporting speed; championed data governance and cross-functional collaboration; supported executive decision-making with actionable insights.

Automated end-to-end ETL workflows using Python and AWS Glue, boosting data reliability and improving process efficiency across departments. Built and maintained real-time Power BI dashboards tracking KPIs such as service levels and revenue assurance, directly supporting executive decision making. Uncovered key business trends through deep-dive analysis of complex datasets, contributing to a 20% increase in customer retention. Applied advanced analytical techniques—Cost/Benefit, Risk, GAP, and Time Series analysis—to guide strategic planning and process improvements. Utilized AWS S3 for secure, scalable data storage and seamless integration into analytics pipelines, enhancing accessibility and performance.