Riddhi Mehta is a distinguished Machine Learning and NLP Engineer at Deloitte, where she plays a pivotal role in driving digital transformation initiatives through advanced data science methodologies. With a strong belief that "data is the new oil," Riddhi leverages her expertise to bridge the...
Riddhi Mehta is a distinguished Machine Learning and NLP Engineer at Deloitte, where she plays a pivotal role in driving digital transformation initiatives through advanced data science methodologies. With a strong belief that "data is the new oil," Riddhi leverages her expertise to bridge the gap between Information Technology (IT) and Operational Technology (OT), enabling organizations to reimagine conventional processes. Her current focus on implementing zero-shot classification and large language models on Azure ML and Databricks has significantly enhanced the efficiency of document classification and feature mapping for audit and financial statements data.
One of Riddhi's key projects involves the development of a robust process pipeline utilizing Python, Hugging Face transfer learning methods, and CortexAI. This innovative approach has led to a remarkable reduction in manual auditing efforts by over 25%, showcasing her ability to automate complex tasks and streamline workflows. Her proficiency in business analytics, data management, and machine learning not only enhances operational efficiency but also empowers stakeholders with actionable insights derived from data analysis.
Riddhi's skill set is further complemented by her experience with Microsoft Azure, Azure Databricks, and Power BI, allowing her to create data-driven solutions that align with business objectives. Her deep understanding of mathematical logic and data engineering principles positions her as a valuable asset in the rapidly evolving landscape of data science. As she continues to explore the convergence of technology and business analytics, Riddhi is committed to driving impactful change and fostering innovation within the industry.
